Clinical High Risk Symptoms and Criteria in the Community: Prevalence, Clinical Significance and Risk Factors for Their Occurrence

2017 ◽  
Vol 41 (S1) ◽  
pp. S226-S226
Author(s):  
F. Schultze-Lutter ◽  
C. Michel ◽  
B.G. Schimmelmann ◽  
S. Ruhrmann
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Clinical Relevance ◽  
Clinical Samples ◽  
Clinical High Risk ◽  
Basic Symptoms ◽  
Developmental Models ◽  
Increased Risk ◽  
Ultra High Risk ◽  
Competing Interest

IntroductionIn clinical samples, symptomatic ultra-high risk (UHR) criteria and the basic symptom criterion “cognitive disturbances” perform well in predicting psychosis, and best when both approaches are combined.ObjectiveHowever, little-to-nothing is known about clinical high risk (CHR) and their constituent symptoms in the community.AimsWe studied the prevalence, clinical relevance, and moderators of CHR criteria and symptoms in the community.MethodRegression analyses involved 2683 community participants (age 16–40 years; response rate: 63.4%). Semi-structured telephone interviews were performed by well-trained psychologists.ResultsLifetime and current CHR symptoms were reported by 21.1% and 13.8% of interviewees. Frequency of symptoms was mostly low, only 2.4% met any CHR criterion. A stepwise relationship underlay the association of the two types of CHR symptoms and criteria with the presence of mental disorders and functional deficits, with odds ratios being highest (7.4–31.8) when UHR and basic symptoms occurred together. Report of a family history of mental disorder generally increased risk for CHR symptoms. While younger age increased risk for basic symptoms, lifetime substance misuse and trauma increased risk for UHR symptoms.ConclusionsPrevalence of CHR criteria was within the to-be-expected range from prevalence rates of psychoses. Clinical relevance of both CHR symptoms and criteria increased in a stepwise manner from basic symptoms via UHR symptoms to their combined presence, reinforcing the clinical utility of their combined use. The risk factors selectively associated with basic and UHR symptoms support developmental models relating basic symptoms to neurobiological and UHR symptoms to psychological factors.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Prevalence and clinical relevance of interview-assessed psychosis-risk symptoms in the young adult community

2017 ◽  
Vol 48 (7) ◽  
pp. 1167-1178 ◽  
Author(s):  
Frauke Schultze-Lutter ◽  
Chantal Michel ◽  
Stephan Ruhrmann ◽  
Benno G. Schimmelmann
Keyword(s):  
Risk Factors ◽  
Young Adult ◽  
High Risk ◽  
Clinical Relevance ◽  
Community Sample ◽  
Clinical Samples ◽  
Basic Symptoms ◽  
Risk Criteria ◽  
Psychosis Risk ◽  
Ultra High Risk

AbstractBackgroundAn efficient indicated prevention of psychotic disorders requires valid risk criteria that work in both clinical and community samples. Yet, ultra-high risk and basic symptom criteria were recently recommended for use in clinical samples only. Their use in the community was discouraged for lack of knowledge about their prevalence, clinical relevance and risk factors in non-clinical, community settings when validly assessed with the same instruments used in the clinic.MethodsUsing semi-structured telephone interviews with established psychosis-risk instruments, we studied the prevalence of psychosis-risk symptoms and criteria, their clinical relevance (using presence of a non-psychotic mental disorder or of functional deficits as proxy measures) and their risk factors in a random, representative young adult community sample (N=2683; age 16–40 years; response rate: 63.4%).ResultsThe point-prevalence of psychosis-risk symptoms was 13.8%. As these mostly occurred too infrequent to meet frequency requirements of psychosis-risk criteria, only 2.4% of participants met psychosis-risk criteria. A stepwise relationship underlay the association of ultra-high risk and basic symptoms with proxy measures of clinical relevance, this being most significant when both occurred together. In line with models of their formation, basic symptoms were selectively associated with age, ultra-high risk symptoms with traumatic events and lifetime substance misuse.ConclusionsPsychosis-risk criteria were uncommon, indicating little risk of falsely labelling individuals from the community at-risk for psychosis. Besides, both psychosis-risk symptoms and criteria seem to possess sufficient clinical relevance to warrant their broader attention in clinical practice, especially if ultra-high risk and basic symptoms occur together.

Basic symptoms and gray matter volumes of patients at clinical high risk for psychosis

2020 ◽  
pp. 1-9 ◽  
Author(s):  
Daniela Hubl ◽  
Chantal Michel ◽  
Frauke Schultze-Lutter ◽  
Martinus Hauf ◽  
Benno G. Schimmelmann ◽  
...  
Keyword(s):  
High Risk ◽  
Gray Matter ◽  
First Episode ◽  
Clinical High Risk ◽  
Significant Group ◽  
Basic Symptoms ◽  
Conversion Rates ◽  
Episode Psychosis ◽  
Ultra High Risk ◽  
Gray Matter Volumes

Abstract Background Clinical high-risk (CHR) for psychosis is indicated by ultra-high risk (UHR) and basic symptom (BS) criteria; however, conversion rates are highest when both UHR and BS criteria are fulfilled (UHR&BS). While BSs are considered the most immediate expression of neurobiological aberrations underlying the development of psychosis, research on neurobiological correlates of BS is scarce. Methods We investigated gray matter volumes (GMV) of 20 regions of interest (ROI) previously associated with UHR criteria in 90 patients from the Bern early detection service: clinical controls (CC), first-episode psychosis (FEP), UHR, BS and UHR&BS. We expected lowest GMV in FEP and UHR&BS, and highest volume in CC with UHR and BS in-between. Results Significantly, lower GMV was detected in FEP and UHR&BS patients relative to CC with no other significant between-group differences. When ROIs were analyzed separately, seven showed a significant group effect (FDR corrected), with five (inferior parietal, medial orbitofrontal, lateral occipital, middle temporal, precuneus) showing significantly lower GM volume in the FEP and/or UHR&BS groups than in the CC group (Bonferroni corrected). In the CHR group, only COGDIS scores correlated negatively with cortical volumes. Conclusions This is the first study to demonstrate that patients who fulfill both UHR and BS criteria – a population that has been associated with higher conversion rates – exhibit more severe GMV reductions relative to those who satisfy BS or UHR criteria alone. This result was mediated by the BS in the UHR&BS group, as only the severity of BS was linked to GMV reductions.

Checking the predictive accuracy of basic symptoms against ultra high-risk criteria and testing of a multivariable prediction model: Evidence from a prospective three-year observational study of persons at clinical high-risk for psychosis

2017 ◽  
Vol 45 ◽  
pp. 27-35 ◽  
Author(s):  
M.P. Hengartner ◽  
K. Heekeren ◽  
D. Dvorsky ◽  
S. Walitza ◽  
W. Rössler ◽  
...  
Keyword(s):  
High Risk ◽  
Prediction Model ◽  
Sensitivity And Specificity ◽  
Predictive Value ◽  
Predictive Accuracy ◽  
Positive Symptoms ◽  
Clinical High Risk ◽  
Verbal Iq ◽  
Basic Symptoms ◽  
Ultra High Risk

AbstractBackground:The aim of this study was to critically examine the prognostic validity of various clinical high-risk (CHR) criteria alone and in combination with additional clinical characteristics.Methods:A total of 188 CHR positive persons from the region of Zurich, Switzerland (mean age 20.5 years; 60.2% male), meeting ultra high-risk (UHR) and/or basic symptoms (BS) criteria, were followed over three years. The test battery included the Structured Interview for Prodromal Syndromes (SIPS), verbal IQ and many other screening tools. Conversion to psychosis was defined according to ICD-10 criteria for schizophrenia (F20) or brief psychotic disorder (F23).Results:Altogether n = 24 persons developed manifest psychosis within three years and according to Kaplan–Meier survival analysis, the projected conversion rate was 17.5%. The predictive accuracy of UHR was statistically significant but poor (area under the curve [AUC] = 0.65, P < .05), whereas BS did not predict psychosis beyond mere chance (AUC = 0.52, P = .730). Sensitivity and specificity were 0.83 and 0.47 for UHR, and 0.96 and 0.09 for BS. UHR plus BS achieved an AUC = 0.66, with sensitivity and specificity of 0.75 and 0.56. In comparison, baseline antipsychotic medication yielded a predictive accuracy of AUC = 0.62 (sensitivity = 0.42; specificity = 0.82). A multivariable prediction model comprising continuous measures of positive symptoms and verbal IQ achieved a substantially improved prognostic accuracy (AUC = 0.85; sensitivity = 0.86; specificity = 0.85; positive predictive value = 0.54; negative predictive value = 0.97).Conclusions:We showed that BS have no predictive accuracy beyond chance, while UHR criteria poorly predict conversion to psychosis. Combining BS with UHR criteria did not improve the predictive accuracy of UHR alone. In contrast, dimensional measures of both positive symptoms and verbal IQ showed excellent prognostic validity. A critical re-thinking of binary at-risk criteria is necessary in order to improve the prognosis of psychotic disorders.

scholarly journals Metabolome-defined obesity and the risk of future diabetes and mortality

2021 ◽  
Author(s):  
Filip Ottosson ◽  
Einar Smith ◽  
Ulrika Ericson ◽  
Salvatore Di Somma ◽  
Paola Antonini ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Population Based ◽  
Normal Weight ◽  
Plasma Metabolites ◽  
Italian Population ◽  
Related Risk ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Future Diabetes

Background Obesity is a key risk factor for type 2 diabetes, however, up to 20% of patients are normal weight. Our aim was to identify metabolite patterns reproducibly predictive of BMI, and subsequently to test if lean individuals who carry an obese metabolome are at hidden high risk of obesity related diseases, such as diabetes. Methods We measured 109 metabolites in fasted plasma samples of 7663 individuals from two Swedish and one Italian population-based cohort. Ridge regression models were used to predict BMI using the plasma metabolites. Individuals with a predicted BMI either more than 5 kg/m2 higher (overestimated) or lower (underestimated) than their actual BMI were characterized as outliers and further investigated for obesity related risk factors and future risk of diabetes and mortality. Results The plasma metabolome could predict BMI in all cohorts (r2 = 0.48, 0.26 and 0.19). The overestimated group had a BMI similar to individuals correctly predicted as normal weight, similar waist circumference, were not more likely to change weight over time but had a 2 times higher risk of future diabetes and an 80 % increased risk of all-cause mortality. These associations remained after adjustments for obesity-related risk factors and lifestyle parameters. Conclusions We found that lean individuals with an obese metabolome, have an increased risk for diabetes and all-cause mortality compared to lean individuals with a healthy metabolome. Metabolomics may be used to identify hidden high-risk individuals, in order to initiate lifestyle and pharmacological interventions.

Abstract 78: Risk Factors Associated with Failure of Aggressive Medical Therapy in the SAMMPRIS Trial

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Michael F Waters ◽  
Brian L Hoh ◽  
Michael J Lynn ◽  
Tanya N Turan ◽  
Colin P Derdeyn ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Medical Therapy ◽  
Primary Endpoint ◽  
Univariate Analysis ◽  
Baseline Risk ◽  
Medical Group ◽  
High Risk Patients ◽  
Increased Risk ◽  
Risk Patients

Background: The SAMMPRIS trial showed that aggressive medical therapy was more effective than stenting for preventing stroke in high-risk patients with symptomatic intracranial stenosis. However, 15% of patients in the medical group still had a primary endpoint (any stroke or death within 30 days of enrollment or stroke in the territory beyond 30 days) during a median follow-up of 32.7 months. We sought to determine baseline risk factors that were associated with a primary endpoint in the medical arm of SAMMPRIS. Methods: Data on 227 patients randomized to the medical group in SAMMPRIS were analyzed. Baseline demographic features, vascular risk factors, qualifying event, brain imaging and angiographic features were analyzed. The hazard ratio and p-value from a Cox proportional hazard regression model relating time until a primary endpoint to each factor were calculated. Results: Female gender, diabetes, stroke as the qualifying event (especially non-penetrator stroke), old infarct in the territory of the stenotic artery, and > 80% stenosis were associated (p < 0.10) with a higher risk of the primary endpoint on univariate analysis (see accompanying table) (multivariate analysis will be available by the time of ISC). Variables not associated with a higher risk of a primary endpoint in the medical arm included: age, race, antithrombotic therapy at the time of a qualifying event, time from qualifying event to enrollment (< 7 days vs. > 7 days), and location of stenosis. Conclusions: Several features were associated with an increased risk of the primary endpoint in the medical group in SAMMPRIS. On univariate analysis, the most important risk factors were an old infarct in the territory of the stenotic artery and stroke (especially non-penetrator stroke) as the qualifying event. These features will be useful for identifying particularly high-risk patients who should be targeted for future clinical trials testing alternative therapies to aggressive medical management.

scholarly journals S69. CLINICAL HIGH RISK STATE: STRATIFICATION BASED ON CLINICAL PROFILE AND REDOX STATUS

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S60-S60
Author(s):  
Martine Cleusix ◽  
Ines Khadimallah ◽  
Elodie Toffel ◽  
Paul Klauser ◽  
Kim Q Do ◽  
...  
Keyword(s):  
High Risk ◽  
Psychosocial Functioning ◽  
Help Seeking ◽  
Verbal Learning ◽  
Self Esteem ◽  
Cognitive Outcomes ◽  
Clinical Profile ◽  
Clinical High Risk ◽  
Basic Symptoms ◽  
The Impact

Abstract Background The Clinical High Risk state (CHR) concept was implemented to promote the early detection of young help-seeking patients with higher risk of psychotic transition. This category is based on specific clinical criteria (EPA, 2015) and require narrow frequency/duration ratings of subclinical positive psychotic symptoms to allow its definition. Prevalence of CHR “category” appears nevertheless rare in help-seeking young people and the rate of psychotic transition of CHR state is lower than predicted by early studies. Therefore, the binary outcome of transition to psychosis proposed by the “CHR model” actually fails to be an efficient marker to stratify, in neurobiological studies, people with different psychopathological trajectories, notably those who develop psychosis from those who do not. In order to rely on a vulnerability model for schizophrenic psychosis more sensitive to psychosocial functioning and negative dimension, we study prospectively with three years of follow-up a population of help-seekers addressed for clinical suspicion of prodromal state of psychosis. We aimed here to identify subgroups of patients in a sample of subclinical psychotic states using psychological and cognitive outcomes as profiling criteria, focusing not only on transition but also on psychosocial functioning as main outcome. Methods A total of 32 help-seeking adolescents and young adults aged 14 to 35 were referred by health care providers for a specialized evaluation in case of suspicion of a prodromal psychotic state and/or detected by the French version of the Prodromal Questionnaire (PQ-16; cut-off 6/16). Their CHR status was assessed by the Structured Interview for Psychosis-Risk Syndromes (SIPS) and the Schizophrenia Proneness Instrument, Adult (SPI-A). Individuals included in the study presented either a CHR status, a subclinical CHR status or negative symptomatology. All subjects performed an additional neuropsychological battery and blood test for redox markers (Glutathione Peroxidase (GPx) and Glutathione Reductase (GR) activities) (Xin et al, 2016). Based on their clinical profile, we made a stratification of the patients using a Principal Component Analysis. Results Cognitive and psychological outcome stratification of all help-seekers revealed two subgroups (called group1 and group2) of patients with distinct profiles. Individuals in group1 (n=18) had greater levels of basic symptoms and general symptomatology. On the other hand, in group2 (n=14), individuals showed a weaker self-esteem and a lower rate of “living independently”. Cognitive scores for speed processing, attention, verbal learning and social cognition were significantly lower in group2 compared to group1. In addition, these cognitive outcomes were negatively correlated with negative symptoms only in group2. Analysis of redox markers revealed a positive correlation between GPx and GR activities in group1, a correlation disrupted in group2. Discussion Stratification of a cohort of young help-seekers with suspicion of prodromal psychosis, regardless of their CHR status, allowed us to distinguish two subgroups with different clinical profiles: group1 with higher levels of basic symptoms and general symptomatology, and group2 with weaker self-esteem, less autonomy and poorer neurocognition. In addition, analysis of redox markers revealed a redox dysregulation in patients with poorer cognitive profile. Considering the impact of neurocognitive impairment on functioning, special focus to patients of group2 is needed, mostly in clinical practice. Moreover, they might benefit of supplementation with antioxidant compounds such as NAC, which may improve cognitive deficits (Conus et al, 2018).

scholarly journals SU50. Schizotypy Moderates the Effect of Basic Symptoms on Conversion to Overt Psychosis in Individuals at Ultra-High Risk for Psychosis

2017 ◽  
Vol 43 (suppl_1) ◽  
pp. S179-S179
Author(s):  
Minji Bang ◽  
Jin Young Park ◽  
Kyung Ran Kim ◽  
Su Young Lee ◽  
Yun Young Song ◽  
...  
Keyword(s):  
High Risk ◽  
Basic Symptoms ◽  
Ultra High Risk

scholarly journals Assessing Developmental Environmental Risk Factor Exposure in Clinical High Risk for Psychosis Individuals: Preliminary Results Using the Individual and Structural Exposure to Stress in Psychosis-Risk States Scale

2019 ◽  
Vol 8 (7) ◽  
pp. 994
Author(s):  
Teresa Vargas ◽  
Denise S. Zou ◽  
Rachel E. Conley ◽  
Vijay A. Mittal
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Environmental Risk ◽  
Statistical Significance ◽  
Environmental Risk Factors ◽  
Group Differences ◽  
Clinical High Risk ◽  
Significant Group ◽  
Psychosis Risk ◽  
Age Range

Introduction: Exposure to cumulative environmental risk factors across development has been linked to a host of adverse health/functional outcomes. This perspective incorporating information regarding exposure at differing developmental periods is lacking in research surrounding individuals at Clinical High Risk (CHR) for developing a psychotic disorder. Methods: CHR individuals (n = 35) and healthy volunteers (n = 28) completed structured clinical interviews as well as our group’s newly developed Individual and Structural Exposure to Stress in Psychosis-risk-states (ISESP) interview. Lifetime cumulative scores were calculated, and severity of stress was reported for multiple developmental periods/ages. Group differences were tested, and associations with current symptom domains were examined. Results: Significant group differences were not observed for lifetime cumulative events, though CHR trended toward endorsing more events and greater stress severity. For stress severity across development, there were trending group differences for the 11–13 age range, and significant group differences for the 14–18 age range; notably, comparisons for earlier time points did not approach statistical significance. Associations between negative symptoms and cumulative severity of exposure were observed. Discussion: Results suggest exploring exposure to cumulative environmental risk factors/stressors and stress severity across developmental periods is generally informative and possibly specifically so for predictive models and diathesis-stress psychosis risk conceptualizations.

A Risk Model for Thrombocytopenia Requiring Platelet Transfusion After Cytotoxic Chemotherapy

Blood ◽  
1998 ◽  
Vol 92 (2) ◽  
pp. 405-410 ◽  
Author(s):  
J.Y. Blay ◽  
A. Le Cesne ◽  
C. Mermet ◽  
C. Maugard ◽  
A. Ravaud ◽  
...  
Keyword(s):  
Risk Factors ◽  
Platelet Count ◽  
High Risk ◽  
Risk Model ◽  
Univariate Analysis ◽  
Cytotoxic Chemotherapy ◽  
Phase Iii ◽  
Severe Thrombocytopenia ◽  
Increased Risk ◽  
Platelet Transfusions

Abstract Severe thrombocytopenia is a rare but life-threatening side effect of cytotoxic chemotherapy for which risk factors are not well known. Our objective was to delineate a risk model for chemotherapy-induced thrombocytopenia requiring platelet transfusions in cancer patients. Univariate and multivariate analysis of risk factors for chemotherapy-induced thrombocytopenia requiring platelet transfusions were performed on the cohort of the 1,051 patients (CLB 1996) treated with chemotherapy in the Department of Medicine of the Centre Léon Bérard (CLB) in 1996. In univariate analysis, performance status (PS) greater than 1, platelet count less than 150,000/μL at day 1 (d1) before the initiation of chemotherapy, d1 lymphocyte count ≤700/μL, d1 polymorphonuclear leukocyte count less than 1,500/μL, and the type of chemotherapy (high risk v others) were significantly associated (P &lt; .01) with an increased risk of severe thrombocytopenia requiring platelet transfusions. Using logistic regression, d1 platelet count less than 150,000/μL (odds ratio [OR], 4.3; 95% confidence interval [CI], 1.9 to 9.6), d1 lymphocyte counts ≤700/μL (OR, 3.37; 95% CI, 1.77 to 6.4), the type of chemotherapy (OR, 3.38; 95% CI, 1.77 to 6.4), and PS greater than 1 (OR, 2.23; 95% CI, 1.22 to 4.1) were identified as independent risk factors for platelet transfusions. The observed incidences of platelet transfusions were 45%, 13%, 7%, and 1.5% for patients with ≥3, 2, 1, or 0 risk factors, respectively. This model was then tested in 3 groups of patients treated with chemotherapy used as validation samples: (1) the series of 340 patients treated in the CLB in the first 6 months of 1997, (2) the prospective multicentric cohort of 321 patients of the ELYPSE 1 study, and (3) the series of 149 patients with non-Hodgkin's lymphoma treated in the CLB within prospective phase III trials (1987 to 1995). In these 3 groups, the observed incidences of platelet transfusions in the above-defined risk groups did not differ significantly (P &gt; .1) from those calculated in the model. This risk index could be useful to identify patients at high risk for chemotherapy-induced thrombocytopenia requiring platelet transfusions.

scholarly journals Histology-specific risks in testicular cancer in immigrants to Sweden

2010 ◽  
Vol 17 (2) ◽  
pp. 329-334 ◽  
Author(s):  
Kari Hemminki ◽  
Seyed Mohsen Mousavi ◽  
Andreas Brandt ◽  
Jianguang Ji ◽  
Jan Sundquist
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Cancer Risk ◽  
Testicular Cancer ◽  
Environmental Influence ◽  
Early Age ◽  
Critical Periods ◽  
Immigrant Studies ◽  
Swedish Family ◽  
Increased Risk

The changes of cancer incidence upon immigration have been used as an estimator of environmental influence on cancer risk. The previous immigrant studies have indicated that the origins of testicular cancer are at an early age in life, probably in the intrauterine period. We wanted to reexamine the critical periods on histology-specific testicular cancer in sons of immigrants to Sweden. We used the nationwide Swedish Family-Cancer Database to calculate standardized incidence ratios (SIRs) for testicular cancer in sons of parents immigrating to Sweden from low- and high-risk countries compared with the native Swedes. Among the large immigrant groups, the SIRs for sons of two Finnish and Asian parents were decreased if the sons were born outside Sweden. The sons of a Danish immigrant couple showed an increased risk of testicular cancer. The changes in SIR were most systematic for seminoma. The present patterns of testicular cancer risk among sons of immigrants point to the early environmental risk factors, which influence the risk probably after the intrauterine period. These factors appear to influence seminoma risk in a more enduring way than they influence non-seminoma.

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