Mild Cognitive Impairment: Clinical Presentation and Short-Term Comparative Outcome of Patients With Potentially Modifiable and Nonmodifiable Risk Factors.

Objective: To estimate the prevalence and study the clinical presentation of mild cognitive impairment (MCI), assess its outcome in terms of cognition and quality of life, identify factors for reversion to baseline, and compare these factors in the modifiable and nonmodifiable risk factor groups.Methods: Individuals aged >50 years with memory/cognitive complaint(s) were screened using the Mini-Cog over 1 year (August 2018-August 2019). Those meeting the DSM-5 criteria for MCI were enrolled, and risk factors (modifiable and nonmodifiable) were noted. Assessments were done using the Hindi version of the Montreal Cognitive Assessment (H-MoCA), the Clinical Dementia Rating (CDR)-Hindi version, and the World Health Organization Quality of Life-Brief Hindi version. Treatment outcome was assessed at 6 months and compared between the risk factor groups. Factors for reversion of MCI were assessed.Results: A total of 124 patients (22.1% of 561 with cognitive complaints) had MCI, and 100 patients (50 patients from the modifiable group and 50 patients from the nonmodifiable group) completed the study. Depression (52%) and hypertension (48%) were common risk factors. End point cognition scores were similar in both groups, with quality of life better in the modifiable group (P = .023). Age was negatively correlated with cognition in total patients and the nonmodifiable group (r =0.283-0.420; P = .002-.004). In total patients, cognition moderately correlated with education and somewhat with quality of life; 31% and 57% reverted to normal on the MoCA and CDR scales, respectively, while 1 progressed to dementia. Reverters had higher baseline H-MoCA scores (odds ratio [OR] = 6.996; P < .001) and were treated with cholinesterase inhibitors + vitamin E (OR = 28.999; P = .007).Conclusion: Short-term outcome for both the modifiable and nonmodifiable risk factor groups was favorable. Higher education positively correlated with cognition, which itself predicted a better quality of life. Reverters of MCI had better baseline cognition and were treated with cholinesterase inhibitors + vitamin E.Prim Care Companion CNS Disord 2024;26(4):24m03708. Author affiliations are listed at the end of this article.

Short-term Clinical Outcome of Previously Untreated and Treated Schizophrenia and Impact of Duration of Untreated Psychosis.

Background: Duration of untreated psychosis (DUP) is an important modifiable factor affecting schizophrenia outcomes. A dearth of research in India on untreated versus treated schizophrenia warrants further research. Methods: This was a longitudinal study in a tertiary hospital over 2 years. Inpatients diagnosed with schizophrenia (N = 116), aged 18-45, were divided into untreated and treated groups. Diagnostic confirmation, severity assessment, and clinical outcome were done using ICD-10 criteria, Positive and Negative Syndrome Scale (PANSS), and Clinical Global Impression (CGI) scale. Follow-up was done at 12 and 24 weeks. DUP was measured, and its association with the outcome was assessed. Results: Final analysis included 100 patients, 50 each of previously untreated and treated. Untreated patients had lower age and duration of illness (DOI), but higher DUP (p < .001). Treated patients showed much improvement on CGI-I at 12 weeks (p = .029), with no difference at 24 weeks. PANSS severity comparison showed no difference, and both groups followed a declining trend. In untreated patients, age of onset (AoO) was negatively correlated with severity (except general symptoms at baseline) at all follow-ups ('r' range = -0.32 to -0.49, p < .05), while DOI showed a positive correlation with negative and general symptoms at 12 weeks (r ~ 0.3, p < .05). Treated patients showed inconsistent and lower negative correlation between AoO and PANSS, with no correlation between severity and DOI. The mean sample DUP was 17.9 ± 31.6 weeks; it negatively correlated with education (r = -0.25, p = .01) and positively with PANSS severity ('r' range = 0.22 to 0.30, p < .05) at all follow-ups, especially negative symptoms. Patients with no or minimal improvement on CGI at 24 weeks had higher DUP (Quade's ANOVA F[1,98] = 6.24, p = .014). Conclusion: Illness variables in untreated schizophrenia affect severity, which has delayed improvement than treated schizophrenia. Higher DUP is associated with negative symptoms of schizophrenia.

Presenting Pattern and Psychiatric Comorbidities in Rural versus Urban Substance Dependent Patients: A Hospital-Based Cross-Sectional Study.

Background: "Locality" is a significant factor in substance initiation, maintenance, and relapse. The pattern of substance dependence among rural and urban populations varies across studies and is scarcely studied, warranting further research. To compare presenting patterns (sociodemographic and drug-related variables), reasons for substance use, and psychiatric comorbidities (prevalence, type, and severity) between rural and urban substance-dependent groups. Materials and Methods: This study was a cross-sectional analytical study in a government de-addiction center, including rural and urban patient groups aged 18-65. International Classification of Diseases, Tenth Revision (ICD-10) criteria, and severity of dependence scale were used for diagnosing substance dependence. After detoxification, psychiatric comorbidity was assessed using brief psychiatric rating scale, Young's mania rating scale, and patient health questionnaire - somatic, anxiety, and depression symptoms scale. Post-analysis was performed to assess socioeconomic variables and access to de-addiction services. Results: The final sample was 500 (250 rural and 250 urban). The post-analysis sample size was 386 (211 rural and 175 urban). The mean age was 38.2 ± 12.4 years, mostly males (n = 495, 99%). Substance frequency was opioids (92%)> benzodiazepines (24.8%) > alcohol (22%) > cannabis (1.6%) for rural and opioids (91.2%) > alcohol (29.6%) > benzodiazepines (14.8%) > cannabis (2%) for urban patients. More than half of patients had comorbid nicotine dependence. Rural patients were more benzodiazepine dependent (P = 0.007), and urban were more opioid + alcohol dependent (P = 0.001). Rural patients had higher age (P = 0.012), less education (P < 0.001), positive family history of substance (P = 0.028), daily wagers, and farmers (P < 0.001) than urban patients who were younger, students (P = 0.002), businessmen and government employed (P < 0.001). Urban patients expended more on drugs (P < 0.001), had higher treatment attempts (P = 0.008), and had better availability and accessibility of de-addiction services (P < 0.001). More rural users initiated substances to "enhance performance," whereas urban ones initiated for "stress relief/novelty" (P < 0.001). For treatment seeking, "External pressure" was a more common reason in urban patients (P < 0.001), who also had more psychiatric comorbidities (P = 0.026). Conclusion: Significant pattern differences exist between rural and urban substance dependents, warranting emphasis on locality-specific factors for appropriate intervention.

Relationship Pattern of Personality Disorder Traits in Major Psychiatric Disorders: A Cross-Sectional Study.

BACKGROUND: Normal personality development, gone awry due to genetic or environmental factors, results in personality disorders (PD). These often coexist with other psychiatric disorders, affecting their outcome adversely. Considering the heterogeneity of data, more research is warranted. METHODS: This was a cross-sectional study on personality traits in psychiatric patients of a tertiary hospital, over 1 year. Five hundred and twenty-five subjects, aged 18-45 years, with substance, psychotic, mood, or neurotic disorders were selected by convenience sampling. They were evaluated for illness-related variables using psychiatric pro forma; diagnostic confirmation and severity assessment were done using ICD-10 criteria and suitable scales. Personality assessment was done using the International Personality Disorder Examination after achieving remission. RESULTS: Prevalence of PD traits and PDs was 56.3% and 4.2%, respectively. While mood disorders were the diagnostic group with the highest prevalence of PD traits, it was neurotic disorders for PDs. Patients with PD traits had a past psychiatric history and upper middle socioeconomic status (SES); patients with PDs were urban and unmarried. Both had a lower age of onset of psychiatric illness. Psychotic patients with PD traits had higher and lower PANSS positive and negative scores, respectively. The severity of personality pathology was highest for mixed cluster and among neurotic patients. Clusterwise prevalence was cluster C > B > mixed > A (47.1%, 25.2%, 16.7%, and 11.4%). Among subtypes, anankastic (18.1%) and mixed (16.7%) had the highest prevalence. Those in the cluster A group were the least educated and with lower SES than others. CONCLUSIONS: PD traits were present among 56.3% of the patients, and they had many significant sociodemographic and illness-related differences from those without PD traits. Cluster C had the highest prevalence. Among patients with psychotic disorders, those with PD traits had higher severity of psychotic symptoms.