Adverse Drug Event Clinical Trial
— MEMASOfficial title:
Monitoring of Metabolic Adverse Events of Second Generation Antipsychotics in a Naive Pediatric Population Followed in Mental Health Outpatient and Inpatient Clinical Settings (MEMAS Prospective Study)
Introduction: Second Generation Antipsychotics (SGAs) are widely used in the pediatric
population. It is currently established that SGAs may induce undesirable metabolic adverse
events (AEs) such as weight gain, metabolic changes in blood lipids or glucose with risk of
potential cardiovascular morbidity and mortality. The Canadian Alliance for Monitoring
Effectiveness and Safety of Antipsychotics in children (CAMESA) has published recommendations
for monitoring the metabolic AEs of SGAs in the pediatric population. Factors that may be
associated with the onset of SGA's metabolic AEs and long term consequences are less studied
in the literature. The objectives of our research are to evaluate some factors that can
influence the development of the SGA's metabolic AEs, and to study clinical adherence to
CAMESA guidelines.
Methods and analysis: The MEMAS study (Monitoring des Effets Métaboliques des
Antipsychotiques de Seconde Génération) design is a multicenter, prospective, longitudinal
observational study with repeated measures of metabolic monitoring up to 24 months of
follow-up. Two recruiting centers have been selected for patients under 18 years of age,
previously naïve of antipsychotics, starting an SGA or who have started an SGA for less than
4 weeks regardless of the diagnosis that motivated the prescription. Assessments are
performed at inclusion and during follow-up for anthropometric measures (AM), blood pressure
(BP) and blood tests (BT) at baseline and 1, 2, 3, 6, 9, 12 and 24 months of follow-up.
Ethics and dissemination: The study protocol was approved by the Centre Hospitalier
Universitaire (CHU) Sainte-Justine's Research Ethics Board (MP-21-2016-1201) in 2016 and
obtained institutional suitability for the "Centre Intégré Universitaire de Santé et de
Services Sociaux du Nord-de-l'Île-de-Montréal" (CIUSSS NIM) Research Center in May 2018. For
all participants, written consent will be obtained from parents/caregivers as well as the
participant's assent in order to enable their participation in this research project. The
results of this research will be published.
Status | Recruiting |
Enrollment | 120 |
Est. completion date | December 31, 2025 |
Est. primary completion date | December 31, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A to 18 Years |
Eligibility |
Inclusion Criteria: - patients under 18 years of age, - previously AP-naifs, - starting an SGA or who started an SGA for less than 4 weeks, - followed longitudinally at one of the selected recruiting center, - regardless of the diagnosis that motivated the prescription of the SGA medication. Exclusion Criteria: - diabetes, - dyslipidemia, - high blood pressure, - thyroid dysfunction, - hepatic disease, - hyperprolactinemia, - taking a medication to treat any of the above conditions before starting SGA treatment and pregnancy. |
Country | Name | City | State |
---|---|---|---|
Canada | Ben Amor Leila | Montréal | Quebec |
Lead Sponsor | Collaborator |
---|---|
St. Justine's Hospital | CIUSSS du Nord-de-l’Île-de-Montréal |
Canada,
American Diabetes Association; American Psychiatric Association; American Association of Clinical Endocrinologists; North American Association for the Study of Obesity. Consensus development conference on antipsychotic drugs and obesity and diabetes. Diabetes Care. 2004 Feb;27(2):596-601. Review. — View Citation
Arango C, Giráldez M, Merchán-Naranjo J, Baeza I, Castro-Fornieles J, Alda JA, Martínez-Cantarero C, Moreno C, de Andrés P, Cuerda C, de la Serna E, Correll CU, Fraguas D, Parellada M. Second-generation antipsychotic use in children and adolescents: a six-month prospective cohort study in drug-naïve patients. J Am Acad Child Adolesc Psychiatry. 2014 Nov;53(11):1179-90,1190.e1-4. doi: 10.1016/j.jaac.2014.08.009. Epub 2014 Sep 2. — View Citation
Brener ND, Kann L, Kinchen SA, Grunbaum JA, Whalen L, Eaton D, Hawkins J, Ross JG. Methodology of the youth risk behavior surveillance system. MMWR Recomm Rep. 2004 Sep 24;53(RR-12):1-13. — View Citation
Centers for Disease Control and Prevention (CDC), Brener ND, Kann L, Shanklin S, Kinchen S, Eaton DK, Hawkins J, Flint KH; Centers for Disease Control and Prevention (CDC). Methodology of the Youth Risk Behavior Surveillance System--2013. MMWR Recomm Rep. 2013 Mar 1;62(RR-1):1-20. — View Citation
Chaput J-P, Tremblay A. Insufficient Sleep as a Contributor to Weight Gain: An Update. Current Obesity Reports. 2012;1(4):245-56.
Chen X, Beydoun MA, Wang Y. Is sleep duration associated with childhood obesity? A systematic review and meta-analysis. Obesity (Silver Spring). 2008 Feb;16(2):265-74. doi: 10.1038/oby.2007.63. Review. — View Citation
Cook S, Weitzman M, Auinger P, Nguyen M, Dietz WH. Prevalence of a metabolic syndrome phenotype in adolescents: findings from the third National Health and Nutrition Examination Survey, 1988-1994. Arch Pediatr Adolesc Med. 2003 Aug;157(8):821-7. — View Citation
Correll CU, Rummel-Kluge C, Corves C, Kane JM, Leucht S. Antipsychotic combinations vs monotherapy in schizophrenia: a meta-analysis of randomized controlled trials. Schizophr Bull. 2009 Mar;35(2):443-57. doi: 10.1093/schbul/sbn018. Epub 2008 Apr 15. — View Citation
Currie C, Griebler R, Inchley J, Theunissen A, Molcho M, Samdal O, Dür W. 2010. Health Behaviour in School-aged Children (HBSC) study protocol : Background, methodology and mandatory items for the 2009/10 survey. Edinburgh : CAHRU & Vienna : LBIHPR.
Dekelbab BH, Abou Ouf HA, Jain I. Prevalence of elevated thyroid-stimulating hormone levels in obese children and adolescents. Endocr Pract. 2010 Mar-Apr;16(2):187-90. doi: 10.4158/EP09176.OR. — View Citation
Desu M and Raghavarao D. 1990. Sample Size Methodology. Academic Press. New York.
Fatima Y, Doi SA, Mamun AA. Longitudinal impact of sleep on overweight and obesity in children and adolescents: a systematic review and bias-adjusted meta-analysis. Obes Rev. 2015 Feb;16(2):137-49. doi: 10.1111/obr.12245. Epub 2015 Jan 14. Review. — View Citation
Findling RL, Correll CU, Nyilas M, Forbes RA, McQuade RD, Jin N, Ivanova S, Mankoski R, Carson WH, Carlson GA. Aripiprazole for the treatment of pediatric bipolar I disorder: a 30-week, randomized, placebo-controlled study. Bipolar Disord. 2013 Mar;15(2):138-49. doi: 10.1111/bdi.12042. — View Citation
Findling RL, Johnson JL, McClellan J, Frazier JA, Vitiello B, Hamer RM, Lieberman JA, Ritz L, McNamara NK, Lingler J, Hlastala S, Pierson L, Puglia M, Maloney AE, Kaufman EM, Noyes N, Sikich L. Double-blind maintenance safety and effectiveness findings from the Treatment of Early-Onset Schizophrenia Spectrum (TEOSS) study. J Am Acad Child Adolesc Psychiatry. 2010 Jun;49(6):583-94; quiz 632. doi: 10.1016/j.jaac.2010.03.013. Epub 2010 May 1. — View Citation
Gropp K, Janssen I, Pickett W. Active transportation to school in Canadian youth: should injury be a concern? Inj Prev. 2013 Feb;19(1):64-7. doi: 10.1136/injuryprev-2012-040335. Epub 2012 May 24. — View Citation
Hardie Murphy M, Rowe DA, Belton S, Woods CB. Validity of a two-item physical activity questionnaire for assessing attainment of physical activity guidelines in youth. BMC Public Health. 2015 Oct 23;15:1080. doi: 10.1186/s12889-015-2418-6. — View Citation
Ho J, Panagiotopoulos C, McCrindle B, Grisaru S, Pringsheim T; Canadian Alliance for Monitoring Effectiveness and Safety of Antipsychotics in Children (CAMESA) guideline group. Management recommendations for metabolic complications associated with second-generation antipsychotic use in children and youth. Paediatr Child Health. 2011 Nov;16(9):575-80. — View Citation
Johnson CL, Dohrmann SM, Kerckove Vd, Diallo MS, Clark J, Mohadjer LK, Burt VL. National Health and Nutrition Examination Survey: National Youth Fitness Survey Estimation Procedures, 2012. Vital Health Stat 2. 2014 Nov;(168):1-25. — View Citation
Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, Hu G, Johnson WD, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tremblay MS, Tudor-Locke C, Zhao P, Church TS. The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods. BMC Public Health. 2013 Sep 30;13:900. doi: 10.1186/1471-2458-13-900. — View Citation
Katzmarzyk PT. Waist circumference percentiles for Canadian youth 11-18y of age. Eur J Clin Nutr. 2004 Jul;58(7):1011-5. — View Citation
LeBlanc AG, Broyles ST, Chaput JP, Leduc G, Boyer C, Borghese MM, Tremblay MS. Correlates of objectively measured sedentary time and self-reported screen time in Canadian children. Int J Behav Nutr Phys Act. 2015 Mar 18;12:38. doi: 10.1186/s12966-015-0197-1. — View Citation
Marcus RN, Owen R, Manos G, Mankoski R, Kamen L, McQuade RD, Carson WH, Findling RL. Safety and tolerability of aripiprazole for irritability in pediatric patients with autistic disorder: a 52-week, open-label, multicenter study. J Clin Psychiatry. 2011 Sep;72(9):1270-6. doi: 10.4088/JCP.09m05933. Epub 2011 Jul 26. — View Citation
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985 Jul;28(7):412-9. — View Citation
Morris NM, Udry JR. Validation of a self-administered instrument to assess stage of adolescent development. J Youth Adolesc. 1980 Jun;9(3):271-80. doi: 10.1007/BF02088471. — View Citation
Motl RW, Dishman RK, Trost SG, Saunders RP, Dowda M, Felton G, Ward DS, Pate RR. Factorial validity and invariance of questionnaires measuring social-cognitive determinants of physical activity among adolescent girls. Prev Med. 2000 Nov;31(5):584-94. — View Citation
National Cholesterol Education Program (NCEP): highlights of the report of the Expert Panel on Blood Cholesterol Levels in Children and Adolescents. Pediatrics. 1992 Mar;89(3):495-501. — View Citation
Nielsen RE, Laursen MF, Vernal DL, Bisgaard C, Jakobsen H, Steinhausen HC, Correll CU. Risk of diabetes in children and adolescents exposed to antipsychotics: a nationwide 12-year case-control study. J Am Acad Child Adolesc Psychiatry. 2014 Sep;53(9):971-979.e6. doi: 10.1016/j.jaac.2014.04.023. Epub 2014 Jun 23. — View Citation
Ogden CL, Kuczmarski RJ, Flegal KM, Mei Z, Guo S, Wei R, Grummer-Strawn LM, Curtin LR, Roche AF, Johnson CL. Centers for Disease Control and Prevention 2000 growth charts for the United States: improvements to the 1977 National Center for Health Statistics version. Pediatrics. 2002 Jan;109(1):45-60. — View Citation
Patel SR, Hu FB. Short sleep duration and weight gain: a systematic review. Obesity (Silver Spring). 2008 Mar;16(3):643-53. doi: 10.1038/oby.2007.118. Epub 2008 Jan 17. Review. — View Citation
Pringsheim T, Panagiotopoulos C, Davidson J, Ho J; Canadian Alliance for Monitoring Effectiveness and Safety of Antipsychotics in Children (CAMESA) guideline group. Evidence-based recommendations for monitoring safety of second-generation antipsychotics in children and youth. Paediatr Child Health. 2011 Nov;16(9):581-9. — View Citation
Prochaska JJ, Sallis JF, Long B. A physical activity screening measure for use with adolescents in primary care. Arch Pediatr Adolesc Med. 2001 May;155(5):554-9. — View Citation
Raffin M, Consoli A, Giannitelli M, Philippe A, Keren B, Bodeau N, Levinson DF, Cohen D, Laurent-Levinson C. Catatonia in Children and Adolescents: A High Rate of Genetic Conditions. J Am Acad Child Adolesc Psychiatry. 2018 Jul;57(7):518-525.e1. doi: 10.1016/j.jaac.2018.03.020. — View Citation
Ronsley R, Nguyen D, Davidson J, Panagiotopoulos C. Increased Risk of Obesity and Metabolic Dysregulation Following 12 Months of Second-Generation Antipsychotic Treatment in Children: A Prospective Cohort Study. Can J Psychiatry. 2015 Oct;60(10):441-50. — View Citation
Rubin DM, Kreider AR, Matone M, Huang YS, Feudtner C, Ross ME, Localio AR. Risk for incident diabetes mellitus following initiation of second-generation antipsychotics among Medicaid-enrolled youths. JAMA Pediatr. 2015 Apr;169(4):e150285. doi: 10.1001/jamapediatrics.2015.0285. Epub 2015 Apr 6. — View Citation
Schmitz KH, Harnack L, Fulton JE, Jacobs DR Jr, Gao S, Lytle LA, Van Coevering P. Reliability and validity of a brief questionnaire to assess television viewing and computer use by middle school children. J Sch Health. 2004 Nov;74(9):370-7. — View Citation
Striegel-Moore RH, Morrison JA, Schreiber G, Schumann BC, Crawford PB, Obarzanek E. Emotion-induced eating and sucrose intake in children: the NHLBI Growth and Health Study. Int J Eat Disord. 1999 May;25(4):389-98. — View Citation
Tresaco B, Bueno G, Pineda I, Moreno LA, Garagorri JM, Bueno M. Homeostatic model assessment (HOMA) index cut-off values to identify the metabolic syndrome in children. J Physiol Biochem. 2005 Jun;61(2):381-8. — View Citation
Van den Bulck J, Van Mierlo J. Energy intake associated with television viewing in adolescents, a cross sectional study. Appetite. 2004 Oct;43(2):181-4. — View Citation
Vereecken CA, Maes L. A Belgian study on the reliability and relative validity of the Health Behaviour in School-Aged Children food-frequency questionnaire. Public Health Nutr. 2003 Sep;6(6):581-8. — View Citation
Weiss R, Dziura J, Burgert TS, Tamborlane WV, Taksali SE, Yeckel CW, Allen K, Lopes M, Savoye M, Morrison J, Sherwin RS, Caprio S. Obesity and the metabolic syndrome in children and adolescents. N Engl J Med. 2004 Jun 3;350(23):2362-74. — View Citation
Woods SW. Chlorpromazine equivalent doses for the newer atypical antipsychotics. J Clin Psychiatry. 2003 Jun;64(6):663-7. Review. — View Citation
Zimmet P, Alberti KG, Kaufman F, Tajima N, Silink M, Arslanian S, Wong G, Bennett P, Shaw J, Caprio S; IDF Consensus Group. The metabolic syndrome in children and adolescents - an IDF consensus report. Pediatr Diabetes. 2007 Oct;8(5):299-306. — View Citation
* Note: There are 42 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Participant's demographic informations | Sex, age, ethnic group, socioeconomic status will be collected | At baseline (inclusion) | |
Primary | Participant's clinical informations | Several participant's clinical informations will be collected : recruitment center, inpatient or outpatient status, main diagnosis (DSM-5), comorbidities, second generation antipsychotic prescribed and its dosage, co-medication type and dosage. In order to create an equivalence between the doses of APs received, a conversion to an equivalent dose of chlorpromazine will be carried out according to published standards (Woods et al., 2003). | At baseline (inclusion) | |
Primary | Family metabolic informations | Presence or not of obesity, dyslipidemia, diabetes and gestational diabetes, high blood pressure, cardiovascular disease in parents will be asked ; and reported weight (in kilograms) and height (in meters) of the parents will be collected (but not measured). | At baseline (inclusion) | |
Primary | Evaluation of Adherence to second generation antipsychotic treatment | Compliance will be indirectly estimated by the nurse and/or the treating psychiatrist at each measurement time of the CAMESA calendar, according to a voluntary declaration by the participants. The date of renewal of the psychotropic medication will also be verified using the Quebec medical record database ("Dossier Santé Québec (DSQ)") and compared to the patient's declaration. The adherence will therefore be counted as the number of days of missed SGA dose per week or per month. | At baseline (inclusion) | |
Primary | Evaluation of Adherence to second generation antipsychotic treatment | Compliance will be indirectly estimated by the nurse and/or the treating psychiatrist at each measurement time of the CAMESA calendar, according to a voluntary declaration by the participants. The date of renewal of the psychotropic medication will also be verified using the Quebec medical record database ("Dossier Santé Québec (DSQ)") and compared to the patient's declaration. The adherence will therefore be counted as the number of days of missed SGA dose per week or per month. | At 1 month of follow-up | |
Primary | Evaluation of Adherence to second generation antipsychotic treatment | Compliance will be indirectly estimated by the nurse and/or the treating psychiatrist at each measurement time of the CAMESA calendar, according to a voluntary declaration by the participants. The date of renewal of the psychotropic medication will also be verified using the Quebec medical record database ("Dossier Santé Québec (DSQ)") and compared to the patient's declaration. The adherence will therefore be counted as the number of days of missed SGA dose per week or per month. | At 2 months of follow-up | |
Primary | Evaluation of Adherence to second generation antipsychotic treatment | Compliance will be indirectly estimated by the nurse and/or the treating psychiatrist at each measurement time of the CAMESA calendar, according to a voluntary declaration by the participants. The date of renewal of the psychotropic medication will also be verified using the Quebec medical record database ("Dossier Santé Québec (DSQ)") and compared to the patient's declaration. The adherence will therefore be counted as the number of days of missed SGA dose per week or per month. | At 3 months of follow-up | |
Primary | Evaluation of Adherence to second generation antipsychotic treatment | Compliance will be indirectly estimated by the nurse and/or the treating psychiatrist at each measurement time of the CAMESA calendar, according to a voluntary declaration by the participants. The date of renewal of the psychotropic medication will also be verified using the Quebec medical record database ("Dossier Santé Québec (DSQ)") and compared to the patient's declaration. The adherence will therefore be counted as the number of days of missed SGA dose per week or per month. | At 6 months of follow-up | |
Primary | Evaluation of Adherence to second generation antipsychotic treatment | Compliance will be indirectly estimated by the nurse and/or the treating psychiatrist at each measurement time of the CAMESA calendar, according to a voluntary declaration by the participants. The date of renewal of the psychotropic medication will also be verified using the Quebec medical record database ("Dossier Santé Québec (DSQ)") and compared to the patient's declaration. The adherence will therefore be counted as the number of days of missed SGA dose per week or per month. | At 9 months of follow-up | |
Primary | Evaluation of Adherence to second generation antipsychotic treatment | Compliance will be indirectly estimated by the nurse and/or the treating psychiatrist at each measurement time of the CAMESA calendar, according to a voluntary declaration by the participants. The date of renewal of the psychotropic medication will also be verified using the Quebec medical record database ("Dossier Santé Québec (DSQ)") and compared to the patient's declaration. The adherence will therefore be counted as the number of days of missed SGA dose per week or per month. | At 12 months of follow-up | |
Primary | Evaluation of Adherence to second generation antipsychotic treatment | Compliance will be indirectly estimated by the nurse and/or the treating psychiatrist at each measurement time of the CAMESA calendar, according to a voluntary declaration by the participants. The date of renewal of the psychotropic medication will also be verified using the Quebec medical record database ("Dossier Santé Québec (DSQ)") and compared to the patient's declaration. The adherence will therefore be counted as the number of days of missed SGA dose per week or per month. | At 24 months of follow-up | |
Primary | Assessment of change of Body Mass Index (BMI) at different times of the study | Assessment of weight and height will be taken using the same instruments and according to a standardized technique. Body Mass Index (BMI) will be calculated with the weight (kilograms) divided by the height squared (m2). Then, the BMI is standardized for sex and age according to the growth charts of the Centers for Disease Control (CDC) (Ogden et al., 2002) in order to obtain the BMI-z score. Significant weight gain is defined by a 0.5 increase in BMI-z score. Being overweight is defined by a BMI-z between the 85th and the 95th percentile. Obesity is defined by a BMI-z equal to or greater than the 95th percentile. | At baseline, at 1, 2, 3, 6, 9, 12 and 24 months of follow-up | |
Primary | Assessment of change of waist circumference at different times of the study | Waist circumference (centimeters) will be taken using the same instruments and according to a standardized technique. The waist circumference percentiles will be calculated according to established Canadian standards for age and sex (Katzmarzyk et al., 2004). | At baseline, at 1, 2, 3, 6, 9, 12 and 24 months of follow-up | |
Primary | Assessment of change of Blood pressure at different times of the study | Systolic and diastolic pressures will be assessed and considered abnormal when it is equal to or higher than the 90th percentile to follow pediatric standards (Cook et al. 2003; Weiss et al., 2004). | At baseline, at 1, 2, 3, 6, 9, 12 and 24 months of follow-up | |
Primary | Assessment of change of fasting lipids level at different times of the study | The threshold values (mmol/L) for fasting lipids are those recommended by the National Cholesterol Education Program (NCEP, 1992), grouped into commonly used categories (Cook et al., 2003) : total cholesterol > 5.15; LDL >3.34; non-HDL cholesterol >3.73; HDL >1.04; triglycerides (0-9 years) >1.12; triglycerides >1.46 (10-19 years). | At baseline, at 3, 6, 12 and 24 months of follow-up | |
Primary | Assessment of change of fasting glucose level at different times of the study | Laboratory testing includes fasting blood sugar. Diabetes will be defined according to the criteria (fasting glucose = 0.7 mmol/L with confirmation by other test) established by the American Diabetes Association (ADA, 2004). | At baseline, at 3, 6, 12 and 24 months of follow-up | |
Primary | Assessment of change of fasting insulinemia level at different times of the study | Laboratory testing includes fasting insulinemia level. Insulin resistance will be estimated with the Homeostasis Model Assessment Insulin - Resistance Index (HOMA-IR) = [Insulin (µUI/ml) x glucose (mg/dl)/405] (Matthews et al., 1985). The threshold value of 2.28 will define insulin resistance (Tresaco et al., 2005). | At baseline, at 3, 6, 12 and 24 months of follow-up | |
Primary | Assessment of change of prolactin level at different times of the study | Laboratory testing includes prolactin level with normal range between 5 to 20 ng/mL. | At baseline, at 3, 12 and 24 months of follow-up | |
Primary | Assessment of change of thyroid stimulating hormone (TSH) level at different times of the study | Laboratory testing includes thyroid stimulating hormone level with normal rate < 10 milliunits per liter (mU/L). | At baseline, at 6, 12 and 24 months of follow-up. | |
Primary | Assessment of change of alanine aminotransferase (ALT) level at different times of the study | Laboratory testing includes alanine aminotransferase level with normal range between 5 to 40 U/L. | At baseline, at 6, 12 and 24 months of follow-up | |
Primary | Assessment of change in responses to the physical activity MEMAS questionnaire at different times of the study | This self-questionnaire using a compilation of different validated items obtained from the United States Youth Risk Behavior Surveillance System (Brener et al, 2013), from Patient-centered Assessment and Counseling for Exercise + Nutrition, a 2-item validated questionnaire for adolescent physical activity (Hardie Murphy et al, 2015; Prochaska et al, 2001) and also include questions on the perception of self-efficacy during exercise (Motl et al, 2000). Screen time questions collect the number of hours spent during weekdays/ends (Schmitz et al, 2004). Items about transportation to school were adapted from the questionnaire of the Canadian branch of the Health Behavior in School-aged Children (Currie et al, 2010; Gropp et al, 2013). Time spent outdoors outside of school hours is evaluated by the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE)(LeBlanc et al, 2015; Katzmarzyk et al,2013), items are rated from 0 (strongly disagree) to 4 (very much agree). | At baseline, at 1, 3, 6, 12 and 24 months of follow-up | |
Primary | Assessment of change in responses to the sleep MEMAS questionnaire at different times of the study | This part of the questionnaire compiles items on the duration (in number of hours) and quality of sleep (from " very good " =1 to " very bad " =4). Items were included since the literature seems to point out a link between lack of sleep and obesity (Chaput & Tremblay, 2012; Chen et al., 2008; Fatima et al., 2015; Patel & Hu, 2008). | At baseline, at 1, 3, 6, 12 and 24 months of follow-up | |
Primary | Assessment of change in responses to the eating habits MEMAS questionnaire at different times of the study | Eating habits will be assessed using a Food Frequency Questionnaire from the Canadian branch of the Health Behavior in School-aged Children study (Currie et al., 2010; Vereecken & Maes, 2003) and culturally adapted by the ISCOLE team. These items are rated from 1 (no day a week) to 6 (5 days a week). Additional items concerning snacks while watching television (Van den Bulck & Van Mierlo, 2004), school meals (Johnson et al., 2014), meals from outside. These items are rated from 1 (no day a week) to 6 (5 days a week). Emotional hunger (Striegel-Moore et al., 1999) are also included. These items are rated from 1 (" never or almost never ") to 3 (" usually or always "). |
At baseline, at 1, 3, 6, 12 and 24 months of follow-up | |
Primary | Assessment of change of Tanner scores at different times of the study | Puberty status will be assessed using a questionnaire developed by Morris and Udry (1980) which includes illustrations of the five Tanner stages of pubertal development, accompanied by brief descriptions (stage 1 = no puberty, stade 2 = completed puberty). | At baseline, at 1, 3, 6, 12 and 24 months of follow-up |
Status | Clinical Trial | Phase | |
---|---|---|---|
Recruiting |
NCT03638726 -
Subconjunctival Atropine and Intracameral Epinephrine for Pupil Dilation in Phacoemulsification
|
Phase 4 | |
Completed |
NCT05007041 -
Simultaneous RZV and aIIV4 Vaccination
|
Phase 4 | |
Suspended |
NCT02559960 -
Post-marketing Safety Surveillance of Breviscapine Powder-Injection : a Registry Study
|
||
Completed |
NCT05266300 -
Implementation and Quality Assurance of DPYD-genotyping in Patients Treated With Fluoropyrimidines.
|
||
Completed |
NCT03112083 -
Safety and Tolerability of Krill Powder Supplement in Slightly Overweight People With Moderately Elevated Blood Pressure
|
N/A | |
Completed |
NCT05028361 -
Simultaneous mRNA COVID-19 and IIV4 Vaccination Study
|
Phase 4 | |
Completed |
NCT04284553 -
Optimizing Electronic Health Record Prompts With Behavioral Economics to Improve Prescribing for Older Adults
|
N/A | |
Recruiting |
NCT06120712 -
A Phase Ⅰb Study on Autologous GC101 TIL Injection for the Treatment of Advanced Melanoma (MIZAR-002)
|
Phase 1/Phase 2 | |
Completed |
NCT04181775 -
Effectiveness of an ADE-related Hospitalization Risk Prediction Tool for Patients (ADE-RED)
|
||
Completed |
NCT02906657 -
Medication Reconciliation Using Electronic Pharmaceutical Record: A Multicenter Study in the Hospitalized Elderly
|
N/A | |
Completed |
NCT03640273 -
Efficacy and Adverse Effects of Prapchompoothaweep Remedy and Loratadine for Treatment in AR Patients
|
Phase 2 | |
Completed |
NCT02162147 -
How Safe Are Our Pediatric Emergency Departments?
|
N/A | |
Completed |
NCT01897870 -
The Effect of a Pharmacist Home Visit on Drug-related Problems Post-discharge.
|
N/A | |
Completed |
NCT03725046 -
Impact of an Optimized Communication on the Readmission for Adverse Drug Event
|
N/A | |
Recruiting |
NCT04635956 -
Camrelizumab Combined With Chemotherapy for Recurrent or Advanced Cervical Neuroendocrine Carcinomas
|
Phase 2 | |
Active, not recruiting |
NCT05538065 -
NUDGE-EHR Replication Trial at Mass General Brigham
|
N/A | |
Completed |
NCT03442010 -
Adverse Drug Events at Emergency Department
|
||
Recruiting |
NCT04791150 -
Rheumatologic Adverse Events and Cancer Immunotherapy
|
N/A | |
Completed |
NCT02864030 -
PAINTER: Polymorphism And INcidence of Toxicity in ERibulin Treatment
|
Phase 4 | |
Completed |
NCT03665402 -
A Pharamcogenomic Study for Isoniazid According to NAT2 Polymorphism Status
|
N/A |