Staging of Schizophrenia With the Use of PANSS: An International Multi-Center Study.
Ontology highlight
ABSTRACT: Introduction
A specific clinically relevant staging model for schizophrenia has not yet been developed. The aim of the current study was to evaluate the factor structure of the PANSS and develop such a staging method.Methods
Twenty-nine centers from 25 countries contributed 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Analysis of covariance, Exploratory Factor Analysis, Discriminant Function Analysis, and inspection of resultant plots were performed.Results
Exploratory Factor Analysis returned 5 factors explaining 59% of the variance (positive, negative, excitement/hostility, depression/anxiety, and neurocognition). The staging model included 4 main stages with substages that were predominantly characterized by a single domain of symptoms (stage 1: positive; stages 2a and 2b: excitement/hostility; stage 3a and 3b: depression/anxiety; stage 4a and 4b: neurocognition). There were no differences between sexes. The Discriminant Function Analysis developed an algorithm that correctly classified >85% of patients.Discussion
This study elaborates a 5-factor solution and a clinical staging method for patients with schizophrenia. It is the largest study to address these issues among patients who are more likely to remain affiliated with mental health services for prolonged periods of time.
SUBMITTER: Fountoulakis KN
PROVIDER: S-EPMC6872964 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Timely identification of COVID-19 patients at high risk of mortality can significantly improve patient management and resource allocation within hospitals. This study seeks to develop and validate a data-driven personalized mortality risk calculator for hospitalized COVID-19 patients. De-identified data was obtained for 3,927 COVID-19 positive patients from six independent centers, comprising 33 different hospitals. Demographic, clinical, and laboratory variables were collected at hospital admission. The COVID-19 Mortality Risk (CMR) tool was developed using the XGBoost algorithm to predict mortality. Its discrimination performance was subsequently evaluated on three validation cohorts. The derivation cohort of 3,062 patients has an observed mortality rate of 26.84%. Increased age, decreased oxygen saturation (≤ 93%), elevated levels of C-reactive protein (≥ 130 mg/L), blood urea nitrogen (≥ 18 mg/dL), and blood creatinine (≥ 1.2 mg/dL) were identified as primary risk factors, validating clinical findings. The model obtains out-of-sample AUCs of 0.90 (95% CI, 0.87-0.94) on the derivation cohort. In the validation cohorts, the model obtains AUCs of 0.92 (95% CI, 0.88-0.95) on Seville patients, 0.87 (95% CI, 0.84-0.91) on Hellenic COVID-19 Study Group patients, and 0.81 (95% CI, 0.76-0.85) on Hartford Hospital patients. The CMR tool is available as an online application at covidanalytics.io/mortality_calculator and is currently in clinical use. The CMR model leverages machine learning to generate accurate mortality predictions using commonly available clinical features. This is the first risk score trained and validated on a cohort of COVID-19 patients from Europe and the United States.
| S-EPMC7725386 | biostudies-literature
Project description:BACKGROUND:In the current wave of educational reforms, understanding teaching styles of medical faculty can help modify instructional strategies for effective teaching. Few studies have probed distinctive teaching styles of medical faculty. We compared preferred teaching styles of faculty from seven medical schools in United Arab Emirates, the Netherlands, Saudi Arabia, Malaysia, Pakistan, and Sudan. METHODS:The validated Grasha-Riechmann teaching style inventory was administered online for data collection and used SPSS version 20.0 for statistical analysis. RESULTS:Of the 460 invitees, 248 responded (response rate; 54%). Delegator teaching style was most common with a highest median and mean of 2.38 and 2.45, respectively. There was a significant correlation between expert and authority teaching styles, correlation coefficient 0.62. Similarly, we found a significant correlation between authority teaching style and nature of curriculum, correlation coefficient 0.30. Multiple regression analysis showed that only authority teaching style and male gender had significant correlation. Interestingly, 117 (47%) teachers disagreed with the teaching philosophy of delivering course contents by strictly following learning outcomes. Female teachers (114/248) were more willing to negotiate with their students regarding how and what to teach in their course, while male teachers tended to allow more autonomy by allowing students to set their learning agenda. CONCLUSIONS:This study showed that the medical teachers preferred delegator teacher style that promotes students' collaboration and peer-to-peer learning. Most teachers are conscious of their teaching styles to motivate students for scientific curiosity. These findings can help medical educators to modify their teaching styles for effective learning.
| S-EPMC7708200 | biostudies-literature
Project description:International Multi-Center ADHD Genetics: IMAGE II
| PRJNA80259 | ENA
Project description:126 Peripheral whole blood samples from 26 individuals across two independent cohorts were collected prior to clozapine initiation, 4-12 weeks after initiation, and a 6 months after initiation.
2024-07-17 | GSE237561 | GEO
Project description:The clinical presentation of patients with schizophrenia has long been described to be very heterogeneous. Coherent symptom profiles can probably be directly derived from behavioral manifestations quantified in medical questionnaires. The combination of machine learning algorithms and an international multi-site dataset (n = 218 patients) identified distinctive patterns underlying schizophrenia from the widespread PANSS questionnaire. Our clustering approach revealed a negative symptom patient group as well as a moderate and a severe group, giving further support for the existence of schizophrenia subtypes. Additionally, emerging regression analyses uncovered the most clinically predictive questionnaire items. Small subsets of PANSS items showed convincing forecasting performance in single patients. These item subsets encompassed the entire symptom spectrum confirming that the different facets of schizophrenia can be shown to enable improved clinical diagnosis and medical action in patients. Finally, we did not find evidence for complicated relationships among the PANSS items in our sample. Our collective results suggest that identifying best treatment for a given individual may be grounded in subtle item combinations that transcend the long-trusted positive, negative, and cognitive categories.
| S-EPMC6207565 | biostudies-literature
Project description:Abstract Background About 40% of patients with Treatment-Resistant Schizophrenia (TRS) do not respond to an adequate trial with clozapine and are termed Clozapine- Resistant Schizophrenia (CRS). A metanalysis showed that clozapine augmentation with ECT is efficacious for CRS, but no studies with Sham-ECT were reported (1). We published a pilot single-blinded study trial, which, to our knowledge, is the first to evaluate the efficacy of electroconvulsive therapy (ECT) in comparison with Sham–ECT in CRS (2) (NCT02049021) (PS). In this PS, patients with CRS received ECT (n=12) or SHAM-ECT (n=7) and after 12 sessions, but no differences were found between both groups as measured by the total PANSS and subscales at the endpoint. Factors, obtained by factor analytic studies (3), as well as individual items of shorter versions of the PANSS (4), are considered more valid predictors of TRS than subscales. The aim of the present study is a reanalysis of our PS based either PANSS factors obtained through factors analysis as well as on the individual items of the PANSS-30 and the PANSS-6. Methods We used individual participant data (IPD) at the symptom level, based on a statistical approach of a study already published (5). We used PANSS-30 items, traditional subscales, as well as factor scores (Positive, Negative and Cognitive) derived from our factor analysis of patients with TRS (4). Additionally, we analyzed also all the PANSS-6 items and the sum of scores (hallucinatory behavior –P3 and lack of spontaneity and flow of conversation- N6) which identify severe cases. STATA, Comprehensive Metanalysis, and R were used for calculations of effect sizes (fixed effects) and power Results We obtained significant differences between groups with high effect sizes (>0.8) for three symptoms at endpoint: P3 (-0.993, 95% CI= -1.977 to -0.009, p= 0.048), N6 (-1.036, 95% CI= -2.025 to -0.047 p= 0.040), and Disorientation (G10) (-1.445, 95%CI=-2.48—0.40, p=0.006). The between-groups effect-sizes of other symptoms or factors showed no statistically significant differences Discussion The present reanalysis showed that patients with CRS do benefit from ECT treatment, with an improvement of their Hallucinatory Behavior or Lack of Spontaneity and Flow of Conversation, but suffer from some cognitive impairments (Disorientation). These findings are limited due to the small sample. We are conducting a trial with a much larger sample size to test the efficacy and tolerability of ECT vs Sham in CRS.
| S-EPMC7233989 | biostudies-literature
Project description:Background: To identify potential avenues for quality improvement, we compared the variations in clinical practice and their association with perioperative morbidity and mortality following radical cystectomy (RC) for bladder cancer in the United States (US) and Japan. Methods: We reviewed our retrospectively collected database of 2240 patients who underwent RC for bladder cancer at the University of Michigan (n?=?1427) and in 21 Japanese institutions (n?=?813) between 1997 and 2014. We performed a systematic comparison of clinical and perioperative factors and assessed predictors of perioperative morbidity and mortality. Death within 90 days of surgery was the primary outcome. Results: There were apparent differences between the two study populations. Notably, US patients had a significantly greater BMI and higher ASA score. In Japanese institutions, median postoperative hospital stay was significantly higher (40 days vs. 7 days, p?< ?0.001) and 90-day readmission rates were significantly lower (0.6% vs. 26.8% , p?< ?0.001). There was a total of 1372/2240 (61.2%) patients with complications within 90 days and 66/2240 (2.9%) patient deaths. Significant predictors of 90-day mortality were older age (OR 1.04, CI 1.01-1.07), higher body mass index (OR 1.07, CI 1.02-1.12), node-positive disease (OR 3.14, CI 1.78-5.47), increased blood loss (OR 1.02, CI 1.01-1.03), and major (Clavien-grade 3 or greater) complication (OR 3.29, CI 1.88-5.71). Conclusion: Despite major differences in baseline characteristics and care of cystectomy patients between the two study populations, peri-operative mortality rates proved to be comparable. This data supports an exploration of non-traditional factors that may influence mortality after cystectomy.
| S-EPMC4927825 | biostudies-other
Project description:ObjectiveTo evaluate the association between the risk of ectopic pregnancy (EP) and the use of common contraceptives during the previous and current conception/menstrual cycle.MethodsA multi-center case-control study was conducted in Shanghai. Women diagnosed with EP were recruited as the case group (n = 2,411). Women with intrauterine pregnancy (IUP) (n = 2,416) and non-pregnant women (n = 2,419) were matched as controls at a ratio of 1∶1. Information regarding the previous and current use of contraceptives was collected. Multivariate logistic regression analyses were performed to calculate odds ratios (ORs) and the corresponding 95% confidential intervals (CIs).ResultsPrevious use of intrauterine devices (IUDs) was associated with a slight risk of ectopic pregnancy (AOR1 = 1.87 [95% CI: 1.48-2.37]; AOR2 = 1.84 [1.49-2.27]), and the risk increased with the duration of previous use (P1 for trend <10-4, P2 for trend <10-4). The current use of most contraceptives reduced the risk of both unwanted IUP (condom: AOR = 0.04 [0.03-0.05]; withdrawal method: AOR = 0.10 [0.07-0.13]; calendar rhythm method: AOR = 0.54 [0.40-0.73]; oral contraceptive pills [OCPs]: AOR = 0.03 [0.02-0.08]; levonorgestrel emergency contraception [LNG-EC]: AOR = 0.22 [0.16-0.30]; IUDs: AOR = 0.01 [0.005-0.012]; tubal sterilization: AOR = 0.01 [0.001-0.022]) and unwanted EP (condom: AOR1 = 0.05 [0.04-0.06]; withdrawal method: AOR1 = 0.13 [0.09-0.19]; calendar rhythm method: AOR1 = 0.66 [0.48-0.91]; OCPs: AOR1 = 0.14 [0.07-0.26]; IUDs: AOR1 = 0.17 [0.13-0.22]; tubal sterilization: AOR1 = 0.04 [0.02-0.08]). However, when contraception failed and pregnancy occurred, current use of OCPs (AOR2 = 4.06 [1.64-10.07]), LNG-EC (AOR2 = 4.87 [3.88-6.10]), IUDs (AOR2 = 21.08 [13.44-33.07]), and tubal sterilization (AOR2 = 7.68 [1.69-34.80]) increased the risk of EP compared with the non-use of contraceptives.ConclusionCurrent use of most contraceptives reduce the risk of both IUP and EP. However, if the contraceptive method fails, the proportions of EP may be higher than those of non-users. In the case of contraceptive failure in the current cycle, EP cases should be differentiated according to current use of OCPs, LNG-EC, IUDs, and tubal sterilization. In addition, attention should be paid to women with previous long-term use of IUDs.
| S-EPMC4262460 | biostudies-literature
Project description:Abstract Background: Lurasidone is an atypical antipsychotic agent that has demonstrated efficacy in the treatment of adults with schizophrenia in the dose range of 40–160?mg/d. The objective of this randomized, double-blind, placebo-controlled study was to evaluate the acute efficacy and safety of lurasidone in adolescent patients with schizophrenia. Methods: Adolescents (13–17 years old) diagnosed with schizophrenia were randomly assigned to 6 weeks of double-blind treatment with fixed-dose lurasidone 40?mg/d, 80?mg/d, or placebo. Changes from baseline to Week 6 in PANSS total and subscale (positive, negative, general psychopathology, excitability) scores were evaluated using mixed-model, repeated-measures analysis. Treatment response was defined as ?20% reduction from baseline in PANSS total score at Week 6 and was analyzed using a logistic regression model with last observation carried forward (LOCF) approach. Results: A total of 326 patients (mean age, 15.4 years) were randomized and received lurasidone 40?mg/d (N = 108), 80?mg/d (N = 106), or placebo (N = 112). The PANSS total score at Week 6 demonstrated a placebo-adjusted, least-squares (LS) mean improvement of ?8.0 (P < .001; effect size [ES] = 0.51) for the 40?mg/d group and ?7.7 (P < .001; ES = 0.48) for the 80?mg/d group. Placebo-adjusted LS mean change for lurasidone 40?mg/d and 80?mg/d, respectively, was ?3.2 (P < .001; ES = 0.62) and ?3.2 (P < .001; ES = 0.60) on the PANSS positive subscale, ?1.7 (P = .011; ES = 0.41) and ?1.6 (P = .022; ES = 0.35) on the PANSS negative subscale, ?2.8 (P = .012; ES = 0.38) and ?2.8 (P = 0.011; ES = 0.37) on the PANSS general psychopathology subscale, and ?1.1 (P = .016; ES = 0.36) and ?1.8 (P < .001; ES = 0.53) on the PANSS excitability subscale. The proportion of treatment responders at Week 6 (LOCF) was 42.0% in the placebo group, 63.9% in the lurasidone 40?mg/d group (P < .001; NNT = 5), and 65.1% in the lurasidone 80?mg/d group (P < .001; NNT = 5). The most common adverse events (incidence ?5% in either lurasidone group and at least twice the rate of placebo) for lurasidone 40?mg/d, 80?mg/d, and placebo, respectively, were nausea (12.7%, 14.4%, and 2.7%), somnolence (9.1%, 11.5%, and 5.4%), akathisia (9.1%, 8.7%, and 1.8%), vomiting (8.2%, 6.7%, and 1.8%), and sedation (5.5%, 1.9%, and 1.8%). The rate of study discontinuation due to adverse events was higher in placebo-treated versus lurasidone-treated patients (8.0% vs. 3.7%, respectively). Conclusion: In this double-blind, placebo-controlled study of adolescent patients with schizophrenia, lurasidone (40?mg/d and 80?mg/d) demonstrated statistically significant efficacy and clinically meaningful improvement across a range of symptoms associated with this disorder. Lurasidone treatment was generally safe and well tolerated in this study. Sponsored by Sunovion Pharmaceuticals Inc. ClinicalTrials.gov identifier: NCT01911429
| S-EPMC5476011 | biostudies-literature
Project description:ObjectiveTo investigate markers of premature menopause (<40 years) and specifically the prevalence of autoimmune primary ovarian insufficiency (POI) in European women.DesignPostmenopausal women were categorized according to age at menopause and self-reported reason for menopause in a cross-sectional analysis of 6870 women.MethodsVariables associated with the timing of menopause and hormone measurements of 17β-estradiol and follicle-stimulating hormone were explored using multivariable logistic regression analysis. Specific immunoprecipitating assays of steroidogenic autoantibodies against 21-hydroxylase (21-OH), side-chain cleavage enzyme (anti-SCC) and 17alpha-hydroxylase (17 OH), as well as NACHT leucine-rich-repeat protein 5 were used to identify women with likely autoimmune POI.ResultsPremature menopause was identified in 2.8% of women, and these women had higher frequencies of nulliparity (37.4% vs 19.7%), obesity (28.7% vs 21.4%), osteoporosis (17.1% vs 11.6%), hormone replacement therapy (59.1% vs 36.9%) and never smokers (60.1% vs 50.9%) (P < 0.05), compared to women with menopause ≥40 years. Iatrogenic causes were found in 91 (47%) and non-ovarian causes in 27 (14%) women, while 77 (39%) women were classified as POI of unknown cause, resulting in a 1.1% prevalence of idiopathic POI. After adjustments nulliparity was the only variable significantly associated with POI (odds ratio 2.46; 95% CI 1.63-3.42). Based on the presence of autoantibodies against 21 OH and SCC, 4.5% of POI cases were of likely autoimmune origin.ConclusionIdiopathic POI affects 1.1% of all women and almost half of the women with premature menopause. Autoimmunity explains 4.5% of these cases judged by positive steroidogenic autoantibodies.
| S-EPMC9175594 | biostudies-literature