6 research outputs found
A comparative analysis of radical and non-radical surgical treatment of hydatid liver echinococcosis: a single-center analysis
Procalcitonin as an early indicator of outcome in sepsis: A prospective observational study
This study explores the role of procalcitonin (PCT) in predicting the outcome of sepsis. In a prospective multicentre observational investigation, blood was sampled within 24. h of onset of sepsis in 1156 hospitalised patients; 234 were in the intensive care unit (ICU) at the point of presentation of sepsis while 922 were not. PCT was estimated in serum by the ultrasensitive Kryptor assay in a double-blinded fashion. Among patients outside the ICU, mortality was 8% in those with PCT ≤0.12. ng/mL but 19.9% in those with PCT >0.12. ng/mL [. P< 0.0001, odds ratio (OR) for death: 2.606; 95% confidence interval (CI): 1.553-4.371]. Among patients whose sepsis presented in ICU, mortality was 25.6% in those with PCT ≤0.85. ng/mL but 45.3% in those with PCT >0.85. ng/mL (P = 0.002; OR for death: 2.404; 95% CI: 1.385-4.171). It is concluded that PCT cut-off concentrations can contribute to predicting the outcome of sepsis and might be of particular value in identifying patients who would benefit from ICU admission. © 2010 The Hospital Infection Society
Modeling psychological function in patients with schizophrenia with the PANSS: an international multi-center study
Gender, age at onset and duration of being ill as predictors for the long-term course and outcome of Schizophrenia: An international multicenter study
Abstract
Background
The aim of the current study was to explore the effect of gender, age at onset, and duration on the long-term course of schizophrenia.
Methods
Twenty-nine centers from 25 countries representing all continents participated in the study that included 2358 patients aged 37.21 ± 11.87 years with a DSM-IV or DSM-5 diagnosis of schizophrenia; the Positive and Negative Syndrome Scale as well as relevant clinicodemographic data were gathered. Analysis of variance and analysis of covariance were used, and the methodology corrected for the presence of potentially confounding effects.
Results
There was a 3-year later age at onset for females (P < .001) and lower rates of negative symptoms (P < .01) and higher depression/anxiety measures (P < .05) at some stages. The age at onset manifested a distribution with a single peak for both genders with a tendency of patients with younger onset having slower advancement through illness stages (P = .001). No significant effects were found concerning duration of illness.
Discussion
Our results confirmed a later onset and a possibly more benign course and outcome in females. Age at onset manifested a single peak in both genders, and surprisingly, earlier onset was related to a slower progression of the illness. No effect of duration has been detected. These results are partially in accord with the literature, but they also differ as a consequence of the different starting point of our methodology (a novel staging model), which in our opinion precluded the impact of confounding effects. Future research should focus on the therapeutic policy and implications of these results in more representative samples.
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Staging of Schizophrenia with the Use of PANSS: An International Multi-Center Study
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. © 2019 The Author(s) 2019. Published by Oxford University Press on behalf of CINP
Staging of schizophrenia with the use of PANSS: an international multi-center study
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