Negative symptoms are a key treatment target in early psychosis intervention. There is a paucity of research examining longitudinal course of negative symptoms across the initial years of treatment for first-episode psychosis using individual-based trajectory analysis. No study has been conducted investigating differential relationships of early-stage negative symptom trajectories with long-term distal outcomes. This study examined patterns and baseline predictors of negative symptom trajectories over the first 3 years of treatment in 138 patients aged 18-55 years presenting with first-episode nonaffective psychosis, using latent class growth analysis based on symptom ratings measured at 4 different time points (baseline, 1, 2, and 3 years). We further explored prospective relationships of identified trajectory classes with functional and negative symptom outcomes at 13-year follow-up. Our results revealed 3 distinct negative symptom trajectories including minimal-stable (59.6%), mild-stable (29.4%), and high-increasing (11.0%) trajectories. Poorer premorbid adjustment, more severe global cognitive impairment, and depressive symptoms at baseline were found to predict high-increasing trajectory. Among 3 trajectory classes, patients in high-increasing trajectory had the worst functional and negative symptom outcomes at 13-year follow-up, with post hoc analyses demonstrating significant outcome differences between high-increasing and minimal-stable trajectories. Our findings thus affirm a heterogeneous course of negative symptoms in first-episode psychosis and indicate that early-stage negative symptom trajectories are critically associated with long-term outcomes. Patients displaying persistently high negative symptom levels in the initial 3 years of treatment may represent a specific subgroup who necessitates an extended period of early intervention specifically targeting at negative symptoms to promote early functional recovery.
Background: The risk stratification of coronary heart disease (CHD) and/or heart failure (HF) patients with easily measured electrocardiographic markers is of clinical importance. The aim of this meta‐analysis is to indicate whether increased QT dispersion (QTd) is associated with fatal and nonfatal outcomes in patients with CHD and/or HF.Methods: We systematically searched MEDLINE and Cochrane databases without restrictions until August 15, 2018 using the keyword “QT dispersion”. Studies including data on the association between QTd and all‐cause mortality, sudden cardiac death (SCD) or arrhythmic events in patients with HF and/or CHD were classified as eligible.Results: In the analysis including patients with CHD and/or HF, we found that QTd did not differ significantly in patients with SCD compared to no SCD patients while QTd was significantly greater in the group of all‐cause mortality patients and in patients who experienced a sustained ventricular arrhythmia. Subgroup analysis showed that in myocardial infarction studies, QTd was significantly higher in patients with an arrhythmic event compared to arrhythmic event‐free patients while a nonsignificant difference was found in QTd in patients who died from any cause compared to survivors. Similarly, in HF patients, the QTd was significantly greater in patients with an arrhythmic event while a nonsignificant difference was found regarding all‐cause mortality and SCD outcomes.Conclusions: QTd has a prognostic role for stratifying myocardial infarction or HF patients who are at higher risk of arrhythmic events. However, no prognostic role was found regarding all‐cause mortality or SCD in this patient population.
21 November 2020 in Journal of the Formosan Medical Association
A territory-wide retrospective observational study was conducted in Hong Kong between January 23 to April 22, 2020 to demonstrate changes in pediatric seizure-related accident and emergency department (A&E) visits during the COVID-19 pandemic. Parallel periods from 2015 to 2019 were used as control. All-cause A&E attendances in all paediatric age groups decreased significantly during the study period. Seizure-related attendances decreased across all pediatric age-groups in 2020 (RR 0.379, 95% CI 0.245–0.588), with a disproportionately large decrease in the 0–6 years age group (RR 0.303, 95% CI 0.174–0.526) compared with the 7–18 years age group (RR 0.534, 95% CI 0.393–0.719). Decrease in RTI-related A&E attendances was also more drastic in the 0–6 age group. The two time trends are congruent in the 0–6 years but not the 7–18 years age group. Such a trend is suggestive of the usefulness of infection control measures in seizure prevention, especially amongst young children.