Nicotine use in patients with schizophrenia evaluated by the Fagerström Tolerance Questionnaire: a descriptive analysis from a Brazilian sample

Prevalence and predictors of treatment-resistant schizophrenia in a tertiary hospital in Northeast Brazil

OBJECTIVE

To investigate epidemiological factors related to treatment-resistant schizophrenia (TRS) in Northeast Brazil, a region where data about mental health are still scarce.

METHODS

This retrospective cross-sectional study included all patients with schizophrenia currently receiving treatment at the outpatient psychiatric clinic of a tertiary hospital in Northeast Brazil. They were divided into TRS and treatment-responsive groups, and epidemiological characteristics of both groups were compared. A logistic regression model investigated factors related to treatment resistance.

RESULTS

Two hundred and five patients were included, 155 treatment-resistant and 50 treatment-responsive. The TRS group had higher use of benzodiazepines (36.1 vs. 18%, p = 0.017) and antiepileptics (36.8 vs. 8.0%, p < 0.001), antipsychotic polypharmacy (28.6 vs. 8%, p = 0.003) and suicide attempts (35.6 vs. 20%, p = 0.04). Age at onset was younger (19.7±7.3 vs. 24.6±8.6 years, p = 0.001) and CGI was higher in TRS (3.72±1.00 vs. 3.16±1.00, p = 0.001). In logistic regression, being married was a protector (odds ratio [OR] = 0.248, 95% confidence interval [95%CI] 0.091-0.679, p = 0.007) and younger age at onset was a predictor (OR = 1.076, 95%CI 1.034-1.120, p < 0.001) of treatment resistance.

CONCLUSION

Early onset of disease was associated with more treatment resistance, while being married with less resistance. Clinicians should identify early predictors of resistance in order to reduce unfavorable outcomes.

Tobacco addiction in the psychiatric population and in the general population

Objective:

To estimate the degree of tobacco addiction and identify independently associated factors by comparing the psychiatric population of secondary and tertiary care with the general population of the primary healthcare network.

Method:

This is a cross-sectional epidemiological study, conducted in a municipality of São Paulo, with 134 smokers of a Mental Health Outpatient Unit (MHOU), a Psychiatric Hospital (PH), and a Primary Healthcare Unit (PHU). Data were collected by means of individual interviews, recorded on a mobile device. Data were statistically processed using Stata/12

Results:

Of the 134 participants, 54.5% were women. While 49.1% of the psychiatric population (MHOU/PH) had medium/high nicotine addiction, 58.3% of smokers of the general population had very low/low dependency. The Poisson regression model indicated a higher prevalence of smokers with high dependence among men (PR = 1.41), people aged 49 years or less (15 - 29 years, PR = 4.06, 30 - 39 PR = 2.96 years, 40 - 49 years PR = 1.84), with severe mental disorders (PR = 3.05), with anxiety disorders/other (PR = 3.98), and with high suicide risk (PR = 1.55).

Conclusion:

Nicotine dependence was greater in the psychiatric population than in the general population. The independent factors associated with severe dependence were sex, age group, diagnosis, and current risk of suicide. These results trigger reflection among nurses on the need to focus more attention on a neglected subject in mental health services.

Antipsychotic Treatment and Tobacco Craving in People With Schizophrenia

OBJECTIVE

Nicotine dependence is high in schizophrenia, and craving is known to impact relapse during quit attempts.

METHODS

We compared tobacco craving in smokers with schizophrenia treated with different antipsychotics.

RESULTS

Mean craving scores were lowest in participants receiving first-generation antipsychotics, although these differences were not statistically significant. Craving with clozapine was not lower than with other antipsychotics.

CONCLUSIONS

Further research is needed to determine whether differences in craving exist between antipsychotic classes.

Estimating 10-year cardiovascular disease risk in Asian patients with schizophrenia

OBJECTIVE

This study aims to describe the cardiovascular risk profile of Asian patients with schizophrenia.

METHODS

Data was extracted from the databases of 139 patients with schizophrenia and 206 controls from two previous studies conducted at the Institute for Mental Health (IMH), Singapore. Their medical and smoking histories were obtained, and anthropometric parameters measured. Framingham risk score (FRS) calculator using body mass index was used to compute the 10-year cardiovascular disease risk (FRS_BMI) and the vascular age (VA_BMI) for each participant. Data on fasting lipids were available for 80 patients and all the controls; hence the FRS for lipids (FRS_lipids) and VA (VA_lipids) were also computed. The difference between VA and actual age was computed as VA_diff.

RESULTS

The 10-year CVD risk and VA_diff based on lipids as well as BMI were significantly higher for patients compared to controls (all p<0.01). There was a strong correlation between FRS_lipids and FRS_BMI (r=0.97, p<0.001). Significantly higher numbers of patients than controls were smokers and obese; and reported having dyslipidaemia.

CONCLUSIONS

We found a high risk of CVD in patients with schizophrenia as compared to controls; and conclude that patients with schizophrenia need regular physical health monitoring, especially for cardiovascular risk factors.

The meaning of smoking for patients with mental disorder

When patients smoke cigarettes in psychiatric services, it brings to the forefront current ethical and political dilemmas. This study aims to explore the meaning attributed to smoking by mental health patients who smoke and who are hospitalized in a psychiatric ward of a general hospital. This qualitative descriptive study was conducted with 96 smokers who were hospitalized in a psychiatric ward in Brazil. Semi-structured interviews, test of nicotine dependence, and content thematic analysis were carried out. The results show that tobacco has an important role in the lives of psychiatric patients. The meanings they attribute to tobacco use are related to overcoming difficulties that are consequential of mental disorders and of side effects caused by their treatments.

Physical comorbidity and its relevance on mortality in schizophrenia: a naturalistic 12-year follow-up in general hospital admissions

Schizophrenia is a major psychotic disorder with significant comorbidity and mortality. Patients with schizophrenia are said to suffer more type-2 diabetes mellitus (T2DM) and diabetogenic complications. However, there is little consistent evidence that comorbidity with physical diseases leads to excess mortality in schizophrenic patients. Consequently, we investigated whether the burden of physical comorbidity and its relevance on hospital mortality differed between patients with and without schizophrenia in a 12-year follow-up in general hospital admissions. During 1 January 2000 and 31 June 2012, 1418 adult patients with schizophrenia were admitted to three General Manchester NHS Hospitals. All comorbid diseases with a prevalemce ≥1% were compared with those of 14,180 age- and gender-matched hospital controls. Risk factors, i.e. comorbid diseases that were predictors for general hospital mortality were identified using multivariate logistic regression analyses. Compared with controls, schizophrenic patients had a higher proportion of emergency admissions (69.8 vs. 43.0%), an extended average length of stay at index hospitalization (8.1 vs. 3.4 days), a higher number of hospital admissions (11.5 vs. 6.3), a shorter length of survival (1895 vs. 2161 days), and a nearly twofold increased mortality rate (18.0 vs. 9.7%). Schizophrenic patients suffered more depression, T2DM, alcohol abuse, asthma, COPD, and twenty-three more diseases, many of them diabetic-related complications or other environmentally influenced conditions. In contrast, hypertension, cataract, angina, and hyperlipidaemia were less prevalent in the schizophrenia population compared to the control population. In deceased schizophrenic patients, T2DM was the most frequently recorded comorbidity, contributing to 31.4% of hospital deaths (only 14.4% of schizophrenic patients with comorbid T2DM survived the study period). Further predictors of general hospital mortality in schizophrenia were found to be alcoholic liver disease (OR = 10.3), parkinsonism (OR = 5.0), T1DM (OR = 3.8), non-specific renal failure (OR = 3.5), ischaemic stroke (OR = 3.3), pneumonia (OR = 3.0), iron-deficiency anaemia (OR = 2.8), COPD (OR = 2.8), and bronchitis (OR = 2.6). There were no significant differences in their impact on hospital mortality compared to control subjects with the same diseases except parkinsonism which was associated with higher mortality in the schizophrenia population compared with the control population. The prevalence of parkinsonism was significantly elevated in the 255 deceased schizophrenic patients (5.5 %) than in those 1,163 surviving the study period (0.8 %, OR = 5.0) and deceased schizophrenic patients had significantly more suffered extrapyramidal symptoms than deceased control subjects (5.5 vs. 1.5 %). Therefore patients with schizophrenia have a higher burden of physical comorbidity that is associated with a worse outcome in a 12-year follow-up of mortality in general hospitals compared with hospital controls. However, schizophrenic patients die of the same physical diseases as their peers without schizophrenia. The most relevant physical risk factors of general hospital mortality are T2DM, COPD and infectious respiratory complications, iron-deficiency anaemia, T1DM, unspecific renal failure, ischaemic stroke, and alcoholic liver disease. Additionally, parkinsonism is a major risk factor for general hospital mortality in schizophrenia. Thus, optimal monitoring and management of acute T2DM and COPD with its infectious respiratory complications, as well as the accurate detection and management of iron-deficiency anaemia, of diabetic-related long-term micro- and macrovascular complications, of alcoholic liver disease, and of extrapyramidal symptoms are of utmost relevance in schizophrenia.

Gene-environment interaction effects on lung function- a genome-wide association study within the Framingham heart study

BACKGROUND

Previous studies in occupational exposure and lung function have focused only on the main effect of occupational exposure or genetics on lung function. Some disease-susceptible genes may be missed due to their low marginal effects, despite potential involvement in the disease process through interactions with the environment. Through comprehensive genome-wide gene-environment interaction studies, we can uncover these susceptibility genes. Our objective in this study was to explore gene by occupational exposure interaction effects on lung function using both the individual SNPs approach and the genetic network approach.

METHODS

The study population comprised the Offspring Cohort and the Third Generation from the Framingham Heart Study. We used forced expiratory volume in one second (FEV1) and ratio of FEV1 to forced vital capacity (FVC) as outcomes. Occupational exposures were classified using a population-specific job exposure matrix. We performed genome-wide gene-environment interaction analysis, using the Affymetrix 550 K mapping array for genotyping. A linear regression-based generalized estimating equation was applied to account for within-family relatedness. Network analysis was conducted using results from single-nucleotide polymorphism (SNP)-level analyses and from gene expression study results.

RESULTS

There were 4,785 participants in total. SNP-level analysis and network analysis identified SNP rs9931086 (P(interaction) =1.16 × 10(-7)) in gene SLC38A8, which may significantly modify the effects of occupational exposure on FEV1. Genes identified from the network analysis included CTLA-4, HDAC, and PPAR-alpha.

CONCLUSIONS

Our study implies that SNP rs9931086 in SLC38A8 and genes CTLA-4, HDAC, and PPAR-alpha, which are related to inflammatory processes, may modify the effect of occupational exposure on lung function.

Perception of smoking risks and motivation to quit among nontreatment-seeking smokers with and without schizophrenia

OBJECTIVE

We examined perceived consequences/benefits of cigarette smoking and motivation for quitting in nontreatment-seeking smokers who had schizophrenia or schizoaffective disorder (N = 100) or had no Axis I psychiatric disorder (normals, N = 100).

METHODS

Participants completed questionnaires and provided a breath carbon monoxide (CO) sample 10-15 minutes after smoking 1 preferred-brand cigarette. Primary assessments included the Smoking Consequences Questionnaire-Adult, the Reasons for Quitting Scale, and the Stages of Change.

RESULTS

There were no differences between the schizophrenia and control group in mean age of smoking onset (16.2 ± 5.4 vs 15.6 ± 5.5 y, P = .44), number of cigarettes daily (17.9 ± 11.6 vs 17.0 ± 7.9, P = 0.51), or in breath CO (28.0 ± 14.5 vs 22.9 ± 8.0 ppm, P = .61). Compared with normals, people with schizophrenia report greater stimulation/state enhancement (P < .0001) and social facilitation (P < .004) from smoking. People with schizophrenia had less appreciation of health risks associated with smoking than normal controls (P < .0001) and were less motivated to quit smoking than normal controls (P = .002), even though they were as likely to be in the preparation stage of change. Immediate reinforcement (P = .04) and health concerns (P = .002) were rated lower as motivators for considering quitting smoking in schizophrenia than normals. People with schizophrenia reported greater motivation to stop smoking due to social pressure/rewards than normals (P = .047).

CONCLUSIONS

This study underscores the degree to which people with schizophrenia perceive the state-enhancing effects of smoking and their lower appreciation for health risks of smoking compared with normal controls.

Cigarette smoking and mortality risk in people with schizophrenia

This study examined effects of cigarette smoking on mortality risk in 1213 persons aged 19-69 years with schizophrenia-related psychotic disorders admitted to State of Maryland Hospitals between 1994 and 2000. Inpatient medical records from 7 hospitals were reviewed to obtain demographic information, diagnosis, medication use, as well as smoking and other substance use. Social Security Death Index data were used to identify deaths in the study group between 1994 and 2004. Death records were reviewed to obtain manner of death and underlying disorders. Of the 1213, 55% were smokers and 71% abused substances. There was an age × smoking interaction (χ(2) = 14.6, df = 1, P = .0001) for mortality, with estimated hazard ratios (HRs) for smokers vs nonsmokers of 2.1 among 35- to 54-year olds and HR of 0.7 among those aged 55-69 years. Five- and 10-year mortality rates for smokers aged 35-54 years were 7.0% and 14.2%, compared with 3.3% and 10.0% for nonsmokers, respectively (χ(2) = 5.53, df = 1, P = .019). Cardiac causes were identified in 43% of deaths in smokers but only 19% of deaths in nonsmokers (P < .006). For those aged 35-54 years, the odds of cardiac related death was increased by 12 fold in smokers relative to nonsmokers (HR = 12.4, χ(2) = 12.0, df = 1, P = .0005). Among people aged 35-54 years, those smoking greater than one pack daily have a significantly increased total mortality risk (HR = 2.7) vs nonsmokers. Cigarette smoking, particularly in people aged 35-54 years, contributes to an increased risk of death. Greater smoking severity significantly increases this risk. Smoking cessation in people with schizophrenia deserves significant attention.

Psychiatric aspects of chronic lung disease

Chronic lung diseases continue to be common and cause significant morbidity and mortality. There is a complex interplay between psychiatric issues and pulmonary diseases. This review aims to summarize the recent literature and advances involving psychiatric aspects of lung diseases, including chronic obstructive pulmonary disease, asthma, restrictive lung disease, and cystic fibrosis. The authors include the latest findings in epidemiology, impact, etiology, screening, and management of psychiatric and pulmonary comorbidity. The relationship between mental health and lung disease, as it is between mental health and other physical illnesses, is multifactorial. Further studies continue to clarify issues and treatment guidelines for this comorbidity.