The neglected emotional drawbacks of the prioritization of embryos to transfer.

In recent years, increasing efforts have been made to develop advanced techniques that could predict the potential of implantation of each single embryo and prioritize the transfer of those at higher chance. The most promising include non-invasive preimplantation genetic testing for aneuploidy and artificial intelligence-based algorithms using time lapse images. The psychological effect of these add-ons is neglected. One could speculate that embarking on another transfer after one or more failures with the prospect of receiving an embryo of lower potential may be distressing for the couple. In addition, the symbolic and mental representation of an embryo with 'lower capacity to implant' is currently unknown but could affect couples' choices and wellbeing. These emotional responses may also undermine adherence to the programme and, ultimately, its real effectiveness. Future trials aimed at evaluating the validity of prioritization procedures must also consider the emotional burden on the couples.

School-based physical activity interventions: which intervention characteristics are associated with participation and retention? A meta-analysis.

OBJECTIVE: Many school-based intervention studies are conducted to increase students' physical activity (PA). Recruitment and retention problems potentially impact the robustness of RCT findings. We conducted a meta-analysis to summarize recruitment and retention rates in long-term secondary school-based PA intervention studies and examined associated participant and intervention characteristics. METHODS: Web of Science, Pubmed, Medline, and PsychInfo were searched until March 20th 2023. We included studies on secondary school-based PA interventions ≥12 weeks, aimed at typically developing adolescents. We abstracted number of schools and students invited, randomized, and participating at follow-up to calculate pooled recruitment and retention rates; participant and intervention characteristics were abstracted to execute subgroup or meta-regression analyses. RESULTS: Recruitment rates were 51% for invited schools and 80% for invited students, the retention for schools was almost 100% and for students 91%. Interventions with fixed and flexible components, executed in Asia and South America, and from later publication years had higher student recruitment rates. Students' retention rates were lower for interventions which had flexible components, were theory/model-based, used an accelerometer, had a longer intervention duration, and included more females. CONCLUSION: Recruitment and retention rates in school-based PA interventions are high. Some participant and intervention characteristics influence these rates: flexibility of the intervention, theory/model-based intervention, accelerometer use, intervention duration, continent, and number of females. Researchers should consider these characteristics in intervention development to achieve optimal balance between intervention effectiveness, recruitment, and retention.

Efficacy and Acceptance of Cognitive Behavioral Therapy in Adults with Chronic Fatigue Syndrome: A Meta-analysis.

BACKGROUND: The systematic aggregation of research on cognitive behavioral therapy (CBT) in chronic fatigue syndrome (CFS) needs an update. Although meta-analyses evaluating interventions typically focus on symptom reduction, they should also consider indicators of treatment acceptability, e.g., drop-out rates. METHODS: Randomized controlled trials (RCTs) investigating CBT in adults with CFS compared to inactive and non-specific control groups were included. First, efficacy was examined, considering fatigue, depression, anxiety, and perceived health. Secondly, drop-out rates through different trial stages were analyzed: Non-completion of all mandatory sessions, drop-out (primary study definition), treatment refusal (non-starters), and average of sessions completed. RESULT: We included 15 RCTs with 2015 participants. CBT was more effective than controls in fatigue (g = -0.52, 95%CI -0.69 to -0.35), perceived health, depression, and anxiety at post-treatment. At long-term follow-up the effects were maintained for fatigue and anxiety. Rates of non-completion (22%, 95%CI 3-71), drop-out (15%, 95%CI 9-25), and treatment refusal (7%, 95%CI 3-15) were relatively low, with a high average proportion of sessions completed. Total time of therapy moderated the effect on fatigue, while the number of sessions moderated the effect on perceived health. Fatigue severity influenced adherence. CONCLUSION: The results indicate that CBT for CFS is effective in reducing fatigue, fatigue related impairment, and severity of depression and anxiety. Conclusions on efficacy at follow-ups are still limited. However, adherence is high in CBT. The results may help to inform clinical practice. Future research should focus on examining the maintenance of effects, while also emphasizing the importance of treatment acceptance.

Drop-out rates in animal-assisted psychotherapy - Results of a quantitative meta-analysis.

INTRODUCTION: Animal-assisted psychotherapy is an emerging field with great potential and growing popularity. However, empirical research on its effectiveness is insufficient, and consistent evidence about patients' commitment is missing. The present meta-analysis addresses this gap by systematically comparing drop-out rates in animal-assisted psychotherapy and by relating the resulting across study drop-out rate to across study drop-out rates reported in meta-analyses on conventional psychotherapy. METHOD: Fifty-seven studies published until August 2022 were identified as eligible for meta-analytic comparison, that is, they conducted animal-assisted psychotherapy on at least one group of psychiatric patients and reported drop-out rates. Potential moderating influences of the type of animal and patients' disorder were considered, as well as multiple other demographic and study design variables. RESULTS: The across study drop-out rate in animal-assisted psychotherapy was 11.2%. This was significantly lower than the across meta-analyses drop-out rate of conventional psychotherapy (d = -.45, p = .0005). Although effects of moderator variables could not be evaluated statistically due to too small and heterogeneous data sets, descriptive results suggest influences of the type of animal and patient disorder. However, study quality ratings identified serious shortcomings regarding proper research design, most critically concerning the report of effect size measures, the use of standardized intervention plans and Open Science practices. CONCLUSION: Drop-out constitutes a major problem of psychotherapeutic research and practice. By proposing that the inclusion of an animal in the psychotherapeutic setting can enhance patients' commitment and by outlining challenges and opportunity of animal-assisted psychotherapy, this meta-analysis offers a starting point for future research in this evolving field.

Embryo drop-out rates in preimplantation genetic testing for aneuploidy (PGT-A): a retrospective data analysis from the DoLoRes study.

PURPOSE: To evaluate the decline in transferable embryos in preimplantation genetic testing for aneuploidy (PGT-A) cycles due to (a) non-biopsable blastocyst quality, (b) failure of genetic analysis, (c) diagnosis of uniform numerical or structural chromosomal aberrations, and/or (d) chromosomal aberrations in mosaic constitution. METHODS: This retrospective multicenter study comprised outcomes of 1562 blastocysts originating from 363 controlled ovarian stimulation cycles, respectively, 226 IVF couples in the period between January 2016 and December 2018. Inclusion criteria were PGT-A cycles with trophectoderm biopsy (TB) and next generation sequencing (NGS). RESULTS: Out of 1562 blastocysts, 25.8% were lost due to non-biopsable and/or non-freezable embryo quality. In 10.3% of all biopsied blastocysts, genetic analysis failed. After exclusion of embryos with uniform or chromosomal aberrations in mosaic, only 18.1% of those originally yielded remained as diagnosed euploid embryos suitable for transfer. This translates into 50.4% of patients and 57.6% of stimulated cycles with no euploid embryo left for transfer. The risk that no transfer can take place rose significantly with a lower number of oocytes and with increasing maternal age. The chance for at least one euploid blastocyst/cycle in advanced maternal age (AMA)-patients was 33.3% compared to 52.1% in recurrent miscarriage (RM), 59.8% in recurrent implantation failure (RIF), and 60.0% in severe male factor (SMF). CONCLUSIONS: The present study demonstrates that PGT-A is accompanied by high embryo drop-out rates. IVF-practitioners should be aware that their patients run a high risk of ending up without any embryo suitable for transfer after (several) stimulation cycles, especially in AMA patients. Patients should be informed in detail about the frequency of inconclusive or mosaic results, with the associated risk of not having an euploid embryo available for transfer after PGT-A, as well as the high cost involved in this type of testing.

Is there a prospective association between psychological distress as measured by the CORE-OM and treatment attendance and treatment duration? A follow-up study at a Norwegian Community Mental Health Centre.

BACKGROUND: Feasible and reliable methods for identifying factors associated with treatment duration and treatment attendance in mental health services are needed. This study examined to what degree the Clinical Outcomes in Routine Evaluation-Outcome Measure (CORE-OM) at the start of treatment is associated with treatment attendance and treatment duration. METHODS: Outpatients (N = 124) at a community mental health centre in Norway completed the 34-item CORE-OM questionnaire addressing the domains of subjective well-being, problems and symptoms, functioning and risk at the start of treatment. The CORE-OM subscales and the 'all' items total scale were used as predictor variables in regression models, with treatment duration, number of consultations attended, treatment attendance (number of therapy sessions attended divided by number of sessions offered) and termination of treatment (planned versus unplanned) as outcome variables. RESULTS: Higher CORE-OM subscale scores and the 'all' scale were associated with longer treatment duration. No association was found between CORE-OM scales and number of therapy sessions, treatment attendance (sessions attended/offered) or whether the patients unexpectedly ended treatment. CONCLUSION: Higher patient-reported psychological distress as measured by the CORE-OM at the start of treatment was prospectively associated with treatment duration but not with treatment attendance or drop-out of treatment. The findings imply that patients with higher initial psychological distress need longer treatment but that treatment attendance may be related to factors other than the severity of distress.

Perceptions of nursing staff and students regarding attrition: a qualitative study.

OBJECTIVES: This research aims to explore the perceptions of nursing students and directors of bachelor of nursing degree courses regarding reasons for attrition amongst nursing students. METHODS: A qualitative descriptive study was conducted using inductive thematic analysis. The study included a purposeful sample of 12 students and 4 directors of bachelor of nursing degree courses. RESULTS: As reasons for attrition, the directors highlighted a lack of preparation for nursing studies and students' limited awareness of possibilities for support and learning. The students emphasized insufficient support from academic staff and poor course organization. Economic and family issues and a misunderstanding of the professional role of a nurse were cited as reasons by both directors and students. CONCLUSIONS: The findings provide important insight into attrition in the nursing programme. Further research is warranted, particularly in other contexts. Addressing student attrition requires a comprehensive approach that includes the provision of adequate support systems, mentorship, and resources for students.

Short Tandem Repeat (STR) Profiling of Earwax DNA Obtained from Healthy Volunteers.

The present study aimed to establish human earwax as a potential source of DNA evidence that could be effectively used in human identification. Sixty earwax samples were obtained from 15 healthy male and female Saudi volunteers living in Riyadh, Saudi Arabia. Four consecutive earwax swab samples were obtained from each volunteer and stored for 1, 15, 30 and 60 days. Earwax samples were stored at room temperature (20-22 °C). Reference oral swab was also taken from each volunteer. DNA was extracted by QIAamp DNA Mini kit and quantified by real-time polymerase chain reaction (RT-PCR) on 7500 Thermal Cycler. Autosomal STR loci were amplified using AmpFLSTR™ Identifiler™ Plus PCR Amplification Kit (Thermo Fisher Scientific, Carlsbad, CA, USA). Amplified fragments were size separated and analyzed on a 3500 Genetic Analyzer. Complete autosomal STR profiles were obtained from the earwax swabs of all the volunteers stored up to 30 days after the collection. Some STR profiles were partially obtained 60 days after the earwax collection. Allelic drop-out, allelic drop-in, and stutters were seen in earwax samples analyzed 60 days after the collection. The results have shown that human earwax can be a potential source of DNA evidence for human identification up to 30 days after the earwax collection. It is recommended to quickly analyze earwax samples or store them at room temperature or at -10 °C after their recovery from the crime scene.

Acceptability of cognitive remediation for schizophrenia: a systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Acceptability is an important factor for predicting intervention use and potential treatment outcomes in psychosocial interventions. Cognitive remediation (CR) improves cognition and functioning in people with a diagnosis of schizophrenia, but its acceptability, and the impact of participants and treatment characteristics, remain to be investigated. Few studies provide a direct measure of acceptability, but treatment drop-out rates are often available and represent a valid surrogate. METHOD: The systematic search conducted for the most comprehensive CR outcomes database for schizophrenia was updated in December 2020. Eligible studies were randomized clinical trials comparing CR with any other control condition in patients diagnosed with schizophrenia spectrum disorders and that also reported drop-out in treatment and control arms separately. Acceptability was measured as odd-ratios (OR) of drop-out. RESULTS: Of 2119 identified reports, 151 studies, reporting 169 comparisons between CR and control interventions with 10 477 participants were included in the analyses. The overall rate of drop-out was 16.58% for CR programs and 15.21% for control conditions. In the meta-analysis, no difference emerged between CR interventions and controls [OR 1.10, 95% confidence interval (CI) 0.96-1.25, p = 0.177]. Factors improving acceptability were: inpatient only recruitment, participants with fewer years of education and lower premorbid IQ, the presence of all CR core elements, and the presence of techniques to transfer cognitive gains into real-world functioning. CONCLUSIONS: CR for people diagnosed with schizophrenia is effective and has a good acceptability profile, similar to that of other evidence-based psychosocial interventions.

Fluctuations in Cognitive Test Scores and Loss to Follow-Up in Community-Dwelling Older Adults: The IRIDE Cohort Study.

INTRODUCTION: We examined the relationship between previous fluctuations in Mini-Mental State Examination (MMSE) scores, future changes in MMSE scores, and attrition from follow-up surveys, which helps in a more comprehensive interpretation of repeatedly collected MMSE scores. METHODS: This 4-year longitudinal study included 2,073 community-dwelling older adults aged ≥65 years in Japan. The MMSE was administered at baseline (T0), 2 years (T1), and 4 years (T2) follow-up. We performed multinomial logistic regression analysis with the dependent variable, indicating the change in MMSE score from T1 to T2 (categorized as increase, no change [reference category], and decrease) and attrition at T2. The independent variables included the change in MMSE scores from T0 to T1 and MMSE scores at T0 and T1. RESULTS: The mean MMSE score was 29 across the three time points. A one-point decrease in MMSE score from T0 to T1 was associated with 79% (95% confidence interval: 1.62, 1.97) higher odds of an increase in MMSE score from T1 to T2 and 28% (1.17, 1.40) higher odds of attrition at T2. A one-point decrement in the MMSE score at T0 and T1 was also associated with an increase in the MMSE score from T1 to T2 and attrition at T2. CONCLUSION: Focusing on cognitive fluctuation for 2 years, rather than cognitive function at a point in time, would have no remarkable advantage when focusing on future cognitive function and attrition. Our results emphasize the need for further studies to identify factors that distinguish between those who continue to attend follow-up surveys and show improvements in cognitive test scores and those who drop out.

The younger the better: importance of age in treatment of childhood obesity.

Children living with obesity are prevalent worldwide. It is an established finding that many children who start a lifestyle intervention tend to leave prematurely. The aim of this study was to identify characteristics in children with obesity who prematurely leave a lifestyle intervention. The cohort study includes children living with obesity aged 4-17, treated in a Danish family-centered lifestyle intervention between 2014 and 2017. Data were collected from patient records. BMI-SDS was calculated using an external Danish reference population and multivariable regression analysis was used to answer the research question. Of the 159 children included, 64 children who left the intervention within the first 1.5 years were older compared to those who stayed in the intervention (10.2 years ± 2.9 vs 11.5 years ± 3.1, p = 0.005). Older participants (> 66.6th percentile) had a shorter treatment duration (489 days) compared to the youngest (190 days 95% CI: 60; 320, p = 0.005) and middle third (224 days 95% CI: 89; 358, p = 0.001). Additionally, an inverse association was found between duration of treatment and age at baseline (-31 days, 95% CI (-50; -13), p = 0.001).   Conclusion: The risk of leaving a lifestyle intervention prematurely was primarily dependent on the age of the participants, emphasizing the importance of including children early in lifestyle interventions. What is Known: • Lifestyle interventions for childhood obesity that are shorter in duration often lead to short-term weight reductions only. Limited knowledge exists on why some children prematurely leave these interventions. What is New: • This study observes a solid inverse correlation and association between age and time spent in the interventions, when treating childhood obesity. We hereby suggest age as an important determinant for the adherence to lifestyle interventions and emphasize the importance of treatment early in life.

Transition in endocrinology: predictors of drop-out of a heterogeneous population on a long-term follow-up.

PURPOSE: To evaluate: (1) clinical and epidemiological characteristics of outpatients transitioned from Pediatrics Endocrine (PED) to Adult Endocrine Department (AED) in a tertiary center; (2) transition process features, and predictors of drop-out. METHODS: Demographic, clinical, and transition features of 170 consecutive patients with pediatric onset of chronic endocrine or metabolic disease (excluded type 1 diabetes) who transitioned from PED to AED (2007-2020) were retrospective evaluated. RESULTS: The age at transition was 18.4 ± 4 years (F:M = 1.2: 1), and mean follow-up 2.8 years. The population was heterogeneous; the most (69.4%) was affected by one, 24.1% by two or more endocrine diseases, 6.5% were followed as part of a cancer survivor's surveillance protocol. The comorbidity burden was high (37, 20.6, and 11.2% of patients had 2, 3, 4, or more diseases). The number of visits was associated with the number of endocrine diseases and the type of them. Adherent subjects had a higher number of comorbidities. Thyroid disorders and more than one comorbidity predicted the adherence to follow-up. Having performed one visit only was predictive of drop-out, regardless of the pathology at diagnosis. CONCLUSION: This is the first study that analyzed a specific transition plan for chronic endocrine diseases on long-term follow-up. The proposed "one-size-fits-all model" is inadequate in responding to the needs of patients. A structured transition plan is an emerging cornerstone.

HCM-associated ALMS1 variant: Allele drop-out and frequency in Italian Sphynx cats.

Hypertrophic cardiomyopathy (HCM) is the most common cardiomyopathy in domestic cats, and some inherited variants are available for genetic testing. A variant of the Alstrom syndrome protein 1 gene (ALMS1) was recently reported to be associated with HCM in the Sphynx cat breed (A3: g.92439157G>C). Genetic screening of the variant, promoted by the Osservatorio Veterinario Italiano Cardiopatie and Genefast Laboratory, was offered to Sphynx cat owners and breeders in Italy. Genotype data were initially obtained by Sanger sequencing. In one case where the samples of a trio were available, inconsistency in the vertical transmission of the variant suggested an allele dropout (ADO) of the wt allele. A new external primer pair was designed as an alternative to the original. The larger PCR product obtained was sanger sequenced, and five novel single nucleotide variants (SNVs) not yet annotated in open-access databases were detected. Three of these SNVs were within the original primer-binding regions and were assumed to have caused ADO. The haplotype, including the ADO SNVs, was detected in two cats belonging to different lineages. To accurately genotype ALMS1 g.92439157G>C in the samples, we set up a real-time TaqMan MGB assay while avoiding all surrounding SNVs. At g.92439157G>C, for 136 Sphynx cats, g.92439157 C variant was highly widespread (freq. >0.50). The present study reports five new variants surrounding ALMS1 g.92439157G>C that must be considered when designing the test. The study also indicates the need to verify the correspondence between the g.92439157 C variant frequency and the prevalence of HCM by increasing clinical visits and follow-ups and finally to promote genetic counselling for accurate management of mating plans in Italian Sphynx cats.

Socio-economic factors, mood, primary care utilization, and quality of life as predictors of intervention cessation and chronic stress in a type 2 diabetes prevention intervention (PREVIEW Study).

BACKGROUND: Sedentary lifestyle and unhealthy diet combined with overweight are risk factors for type 2 diabetes (T2D). Lifestyle interventions with weight-loss are effective in T2D-prevention, but unsuccessful completion and chronic stress may hinder efficacy. Determinants of chronic stress and premature cessation at the start of the 3-year PREVIEW study were examined. METHODS: Baseline Quality of Life (QoL), social support, primary care utilization, and mood were examined as predictors of intervention cessation and chronic stress for participants aged 25 to 70 with prediabetes (n = 2,220). Moderating effects of sex and socio-economic status (SES) and independence of predictor variables of BMI were tested. RESULTS: Participants with children, women, and higher SES quitted intervention earlier than those without children, lower SES, and men. Lower QoL, lack of family support, and primary care utilization were associated with cessation. Lower QoL and higher mood disturbances were associated with chronic stress. Predictor variables were independent (p ≤ .001) from BMI, but moderated by sex and SES. CONCLUSIONS: Policy-based strategy in public health should consider how preventive interventions may better accommodate different individual states and life situations, which could influence intervention completion. Intervention designs should enable in-built flexibility in delivery enabling response to individual needs. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01777893.

Short-term disengagement from early intervention service for first-episode psychosis: findings from the "Parma Early Psychosis" program.

PURPOSE: Service disengagement is a major concern for "Early Intervention in Psychosis" (EIP). Indeed, identifying predictors of engagement is crucial to maximize mental healthcare interventions in first-episode psychosis (FEP). No Italian study on this topic has been reported to date. Thus, the aims of this investigation were: (1) to examine short-term disengagement rate in an Italian population of FEP patients treated within an EIP service across a 1-year follow-up period, and (b) to assess the most relevant predictors of disengagement in the first year of treatment. METHODS: All participants were young FEP help-seeking patients, aged 12-35 years, enrolled within the "Parma Early Psychosis" (Pr-EP) protocol. At baseline, they completed the Positive And Negative Syndrome Scale (PANSS), the Health of the Nation Outcome Scale (HoNOS) and the Global Assessment of Functioning (GAF) scale. Univariate and multivariate Cox regression analyses were used. RESULTS: 496 FEP individuals were enrolled in this research. Across the follow-up, a 16.5% prevalence of short-term disengagement was found. Particularly robust predictors of service disengagement were poor baseline treatment non-adherence, living with parents and the presence of brief psychotic disorder or schizophreniform disorder at entry. CONCLUSION: About 16% of FEP patients disengaged the Pr-EP program within the first year of treatment. A solution to reduce disengagement and/or to favor re-engagement of these subjects might be to remain on EIP program caseloads allowing the option for low-intensity support and monitoring, also via remote technology.

Drop-out and ineffective treatment in youth with severe and enduring mental health problems: a systematic review.

Youth with severe and enduring mental health problems (SEMHP) tend to drop out of treatment or insufficiently profit from treatment in child and adolescent psychiatry (CAP). Knowledge about factors related to treatment failure in this group is scarce. Therefore, the aim of this systematic review was to thematically explore factors associated with dropout and ineffective treatment among youth with SEMHP. After including 36 studies, a descriptive thematic analysis was conducted. Themes were divided into three main categories: client, treatment, and organizational factors. The strongest evidence was found for the association between treatment failure and the following subthemes: type of treatment, engagement, transparency and communication, goodness of fit and, perspective of practitioner. However, most other themes showed limited evidence and little research has been done on organizational factors. To prevent treatment failure, attention should be paid to a good match between youth and both the treatment and the practitioner. Practitioners need to be aware of their own perceptions of youth's perspectives, and transparent communication with youth contributes to regaining their trust.

Analysing medical predictors for the outcome of infertility treatment: a 5-year follow-up survey.

PURPOSE: For many couples, bearing children is a common life goal; however it cannot always be fulfilled. Undergoing infertility treatment does not always guarantee pregnancies and live births. Couples experience miscarriages and even discontinue infertility treatment. Significant medical predictors for the outcome of infertility treatment have yet to be fully identified. METHODS: To further our understanding, a cross-sectional 5-year follow-up survey was undertaken, in which 95 women and 82 men that have been treated at the Women's Hospital of Heidelberg University participated. Binary logistic regressions, parametric and non-parametric methods were used for our sample to determine the relevance of biological (infertility diagnoses, maternal and paternal age) and lifestyle factors (smoking, drinking, over- and underweight) on the outcome of infertility treatment (clinical pregnancy, live birth, miscarriage, dropout rate). In addition, chi-square tests were used to examine differences in the outcome depending on the number of risk factors being present. RESULTS: In the binary logistic regression models for clinical pregnancies, live births and drop outs were statistically significant only for the maternal age, whereas the maternal and paternal BMI, smoking, infertility diagnoses and infections showed no significant predicting effect on any of the outcome variables. A correlation between the number of risk factors and the outcome of infertility treatment could not be excluded. CONCLUSION: The results confirm that maternal age has an effect on infertility treatment, whereas the relevance of other possible medical predictors remains unclear. Further large-scale studies should be considered to increase our knowledge on their predictive power.

Real-life outcomes for oral disease-modifying treatments of relapsing-remitting multiple sclerosis patients: Adherence and adverse event profiles from Marmara University.

BACKGROUND: Disease-modifying treatments (DMT) are used to prevent future relapses and disability. High long-term adherence to treatment is important to achieve disease control. This study aims to investigate and compare adherence, adverse event (AE) profiles, and frequencies, main reasons for treatment discontinuation under Teriflunomide (TERI), Dimethyl Fumarate (DMF), and Fingolimod (FNG) for relapsing-remitting MS (RRMS) patients. This study is designed to explore patient-reported experiences in real-life settings. METHODS: Patients who were older than 18 years with a definite diagnosis of RRMS and no history of stem-cell transplantation were included. Outpatient clinic data files at the Neurology Department of Marmara University from June 2012 to June 2019 were examined retrospectively. RESULTS: One hundred and ninety MS patients were enrolled. 118 FNG, 51 DMF, 44 TERI treatment cycles were recorded. Time sincedisease onset, time since diagnosis, and treatment duration were significantly longer for FNG (p = 0.012, p = 0.004, p < 0.001). 72.8% of all the treatment cycles were continued. There was no significant difference in treatment continuity between the 3 DMT groups. The most common reasons for treatment discontinuation in order of frequency were adverse events, the progression of the disease, and the persistence of relapses. No significant difference was found for treatment discontinuation reasons. 32% of the patients reported at least one AE. 28% FNG, 49 % DMF, and 27.3% TERI using patients reported AEs. AEs were much more frequently reported for DMF (p = 0.015). The most common adverse events for each DMT were alopecia (n = 6, 13.6%) for TERI, flushing for DMF (n = 20, 39.2%), and persistent lymphopenia for FNG (n = 9, 7.6%). No severe or life-threatening AE was reported for DMF, one patient experienced pancreatitis under TERI, and 11 (9.3%) patients using FNG had to stop treatment due to serious or life-threatening AEs including cardiac adverse events, opportunistic infections, and dysplasia. DISCUSSION: Overall treatment discontinuation because of AEs is as low as 10.3% in this study. However, AEs are still the main reason for treatment drop-out.

Quality of life, psychosocial characteristics, and study skills affecting recruits' intention to quit Basic Military Training.

Quitting Basic Military Training (BMT) is a problem in the Dutch Armed Forces. Previous research focused on physical factors. Yet, contemporary research focuses on psychosocial characteristics, study skills, and quality of life factors associated with recruits' intention to quit BMT. We combined several factors to identify the key factors affecting recruits' intentions to quit BMT. We also studied gender and rank position differences. Three hundred fifty-five recruits enrolled in BMT participated by completing a self-report questionnaire. Multiple regression analysis showed that being highly engaged with BMT, having a high sense of belonging, and being highly proactive resulted in lower intention to quit. Having a high sense of responsibility resulted in higher intention to quit BMT. For gender, significant differences were found in study skills and self-esteem. For rank positions, significant differences were found in several psychosocial characteristics, study skills, quality of life factors, and intention to quit; with officer rank recruits showing higher intentions to quit than noncommissioned officer rank recruits. These identified factors can be used to improve conditions for BMT recruits. It is further advised to investigate the origin of gender and rank position differences that affect associations between psychosocial characteristics, study skills, quality of life factors, and recruits' intention to quit, so that these differences can be minimized in the future.

Predicting patients who will drop out of out-patient psychotherapy using machine learning algorithms.

BACKGROUND: About 30% of patients drop out of cognitive-behavioural therapy (CBT), which has implications for psychiatric and psychological treatment. Findings concerning drop out remain heterogeneous. AIMS: This paper aims to compare different machine-learning algorithms using nested cross-validation, evaluate their benefit in naturalistic settings, and identify the best model as well as the most important variables. METHOD: The data-set consisted of 2543 out-patients treated with CBT. Assessment took place before session one. Twenty-one algorithms and ensembles were compared. Two parameters (Brier score, area under the curve (AUC)) were used for evaluation. RESULTS: The best model was an ensemble that used Random Forest and nearest-neighbour modelling. During the training process, it was significantly better than generalised linear modelling (GLM) (Brier score: d = -2.93, 95% CI (-3.95, -1.90)); AUC: d = 0.59, 95% CI (0.11 to 1.06)). In the holdout sample, the ensemble was able to correctly identify 63.4% of cases of patients, whereas the GLM only identified 46.2% correctly. The most important predictors were lower education, lower scores on the Personality Style and Disorder Inventory (PSSI) compulsive scale, younger age, higher scores on the PSSI negativistic and PSSI antisocial scale as well as on the Brief Symptom Inventory (BSI) additional scale (mean of the four additional items) and BSI overall scale. CONCLUSIONS: Machine learning improves drop-out predictions. However, not all algorithms are suited to naturalistic data-sets and binary events. Tree-based and boosted algorithms including a variable selection process seem well-suited, whereas more advanced algorithms such as neural networks do not.