RESUMO
Mental illness definitions and classifications are to a certain extent intrinsically tied to social factors. To empirically examine the impact of sociodemographic factors on patients institutionalized with dementia praecox in the early 20th century, we examined records from Dorothea Dix Hospital (DDH), an asylum in Southeastern United States. Data was extracted from digitally archived handwritten admission ledgers and general casebooks. Of those institutionalized at DDH between 1896-1917, 190 patients were diagnosed with dementia praecox. Clinical characteristics of patients are described using descriptive text analysis. We used regression models to examine the influence of sociodemographic factors on length of stay and release condition from the asylum. Race was not recorded for any patient and presumed White since DDH was not racially integrated until 1960s. Women had a significantly increased odds (OR = 3.8, p = 0.016) of dying in the facility than getting discharged; being single significantly increased the odds of dying in the facility (OR = 6.8, p = 0.002). Marital status predicted length of stay-being single increased the length of stay (b = 5.97, t (159) = 2.43, p = 0.016) adjusting for the effects of gender, age, and education. We report the impact of gender and marital status on patient release condition and length of stay in an asylum in the early 20th century. Results from the historical data we empirically examined are relevant today as women continue to experience disparities in mental health care. Family support was crucial to better outcomes then, as it is today.
Assuntos
Hospitalização , Esquizofrenia , Humanos , Feminino , Tempo de Internação , Estudos Retrospectivos , Estado CivilRESUMO
BACKGROUND: It remains unknown why ~30% of patients with psychotic disorders fail to respond to treatment. Previous genomic investigations of treatment-resistant psychosis have been inconclusive, but some evidence suggests a possible link between rare disease-associated copy number variants (CNVs) and worse clinical outcomes in schizophrenia. Here, we identified schizophrenia-associated CNVs in patients with treatment-resistant psychotic symptoms and then compared the prevalence of these CNVs to previously published schizophrenia cases not selected for treatment resistance. METHODS: CNVs were identified using chromosomal microarray (CMA) and whole exome sequencing (WES) in 509 patients with treatment-resistant psychosis (a lack of clinical response to ≥3 adequate antipsychotic medication trials over at least 5 years of psychiatric hospitalization). Prevalence of schizophrenia-associated CNVs in this sample was compared to that in a previously published large schizophrenia cohort study. RESULTS: Integrating CMA and WES data, we identified 47 cases (9.2%) with at least one CNV of known or possible neuropsychiatric risk. 4.7% (n = 24) carried a known neurodevelopmental risk CNV. The prevalence of well-replicated schizophrenia-associated CNVs was 4.1%, with duplications of the 16p11.2 and 15q11.2-q13.1 regions, and deletions of the 22q11.2 chromosomal region as the most frequent CNVs. Pairwise loci-based analysis identified duplications of 15q11.2-q13.1 to be independently associated with treatment resistance. CONCLUSIONS: These findings suggest that CNVs may uniquely impact clinical phenotypes beyond increasing risk for schizophrenia and may potentially serve as biological entry points for studying treatment resistance. Further investigation will be necessary to elucidate the spectrum of phenotypic characteristics observed in adult psychiatric patients with disease-associated CNVs.