Publications by authors named "Jingda Cai"
Background: The heterogeneity of cognitive impairments in schizophrenia has been widely observed. However, reliable cognitive boundaries to differentiate the subgroups remain elusive. The key challenge for cognitive subtyping is applying an integrated and standardized cognitive assessment and understanding the subgroup-specific neurobiological mechanisms.
View Article and Find Full Text PDFExploring the latent cognitive structure in schizophrenia: implications for antipsychotic treatment responses.
Eur Arch Psychiatry Clin Neurosci
May 2024
Background: Individuals diagnosed with schizophrenia present diverse degrees and types of cognitive impairment, leading to variations in responses to antipsychotic treatments. Understanding the underlying cognitive structures is crucial for assessing this heterogeneity. Utilizing latent profile analysis (LPA) enables the delineation of latent categories of cognitive function.
View Article and Find Full Text PDFBackground: Depression and diabetes mellitus (DM) are major chronic noncommunicable diseases that impair one's mental and physical well-being and impose substantial burdens on the health system. Depressed individuals have an increased risk of impaired blood glucose, weight gain and dyslipidemia which could induce poorer long-term survival.
Methods: 37,040 individuals from the National Health and Nutrition Examination Survey (NHANES) were included.
Article Synopsis
- The study examined how early changes in symptoms could predict long-term non-response to antipsychotic medications in schizophrenia patients.
- At week 2, a less than 5% reduction in symptoms was most accurate for predicting non-response in severe and mild cases, while a 10% reduction was better for moderate cases.
- By week 4, a cut-off of less than 20% reduction was found to be the best predictor of later non-response across all groups and medications, suggesting treatment adjustments may be necessary based on early symptom improvements.
Article Synopsis
- Hyperprolactinemia and metabolic issues are common side effects of antipsychotics, leading to treatment intolerance, yet there are no solid guidelines for switching medications in these cases.
- The study analyzed 177 patients with hyperprolactinemia from amisulpride and 274 with metabolic disturbances from olanzapine, finding that higher baseline PANSS scores indicated a greater likelihood of relapse after switching medications.
- Switching to aripiprazole was associated with an increased risk of relapse while providing benefits like reduced prolactin levels for amisulpride users; however, it did not help in reducing weight or blood sugar levels for those on olanzapine.
Substance addiction is a complex worldwide public health problem. It endangers both personal life and social stability, causing great loss on economy. Substance-related disorder is considered to be a complicated chronic brain disorder.
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