Dataset Information

Prevalence and predictors of metabolic syndrome in schizophrenia patients from Assam.

ABSTRACT:

Background

Metabolic abnormalities contribute enormously to morbidity and mortality in schizophrenia.

Objectives

Our objectives were to determine the (i) prevalence of metabolic syndrome (MS); and (ii) predictors for MS in schizophrenia patients from Assam.

Materials and methods

Seventy-five schizophrenia patients were evaluated for MS. Risk factors were assessed by odds ratios (ORs) with 95% confidence intervals (CIs).

Results

Fifty-nine patients (78.7%) had a metabolic abnormality. Twenty-two patients (29.3%, 95% CI: 19.9%-40.8%) fulfilled the criteria for MS. Female gender (adjusted OR = 7.8, 95% CI: 1.7-36.4), smoking (adjusted OR = 7.9, 95% CI: 1.7-35.8), family history of chronic lifestyle disease (adjusted OR = 4.4, 95% CI: 1.3-15.2), and atypical antipsychotic use (adjusted OR = 4.3, 95% CI: 1.1-16.9) significantly predicted MS.

Conclusion

Metabolic abnormalities exist widely in schizophrenics from Assam. Females, smokers, and those with family history of chronic diseases and using atypical antipsychotics are at greater risk.

SUBMITTER: Das D

PROVIDER: S-EPMC5547867 | biostudies-literature | 2017 Apr-Jun

REPOSITORIES: biostudies-literature

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Publications

Prevalence and predictors of metabolic syndrome in schizophrenia patients from Assam.

Das Dulmoni D Bora Kaustubh K Baruah Banti B Konwar Gitumoni G

Indian journal of psychiatry 20170401 2

<h4>Background</h4>Metabolic abnormalities contribute enormously to morbidity and mortality in schizophrenia.<h4>Objectives</h4>Our objectives were to determine the (i) prevalence of metabolic syndrome (MS); and (ii) predictors for MS in schizophrenia patients from Assam.<h4>Materials and methods</h4>Seventy-five schizophrenia patients were evaluated for MS. Risk factors were assessed by odds ratios (ORs) with 95% confidence intervals (CIs).<h4>Results</h4>Fifty-nine patients (78.7%) had a metab ...[more]

PMID: 28827873

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Project description:ObjectiveMany studies so far have shown that antipsychotic therapy may have an effect on the development of metabolic syndrome in patients diagnosed with schizophrenia. Our goal was to determine whether our respondents are at risk for developing metabolic syndrome and who is more predisposed to it.MethodsIn a stable phase, 60 patients diagnosed with schizophrenia were equally divided into three groups according to the drug (risperidone, clozapine, and aripiprazole monotherapy). Control group had 20 healthy examinees. Patients were evaluated first using The Positive and Negative Syndrome Scale (PANSS). Prolactin, lipid status, glycemia, insulin, cytokine values (IL-33, TGF-β, and TNF-α) and C-reactive protein (CRP) were measured. Also, Body mass index (BMI), Homeostatic Model Assesment for Insulin Resistance (HOMA index), waist and hip circumference (WHR) and blood pressure (TA) measurement were performed in the study.ResultsPatients treated with risperidone compared to healthy control subjects and aripiprazol group of patients had statistically significant difference in prolactin levels. In clozapine group compared to healthy control group values of HDL cholesterol and glucose level were statistically significant different. In aripiprazole group compared to healthy control group value of BMI was statistically significant different. Statistically significant correlations were found in TNF-α with glucose and HOMA index in risperidone treated patients and with BMI in clozapine group of patients; IL-33 with glucose in risperidone and with BMI in clozapine group of patients and TGF-β with glucose in risperidone group, with insulin and HOMA index in clozapine group and statistically significant negative correlation with LDL cholesterol in aripiprazole group of patients.ConclusionPatients on risperidone and clozapine therapy may be at greater risk of developing metabolic syndrome than patients treated with aripiprazole. Statistically significant difference in concentration of TNF-α and TGF-β was in the group of patients treated with risperidone compared to healthy control group.

Project description:BackgroundAcne inversa (AI; also designated as Hidradenitis suppurativa) is a common chronic inflammatory skin disease, localized in the axillary, inguinal and perianal skin areas that causes painful, fistulating sinuses with malodorous purulence and scars. Several chronic inflammatory diseases are associated with the metabolic syndrome and its consequences including arteriosclerosis, coronary heart disease, myocardial infraction, and stroke. So far, the association of AI with systemic metabolic alterations is largely unexplored.Methods and findingsA hospital-based case-control study in 80 AI patients and 100 age- and sex-matched control participants was carried out. The prevalence of central obesity (odds ratio 5.88), hypertriglyceridemia (odds ratio 2.24), hypo-HDL-cholesterolemia (odds ratio 4.56), and hyperglycemia (odds ratio 4.09) in AI patients was significantly higher than in controls. Furthermore, the metabolic syndrome, previously defined as the presence of at least three of the five alterations listed above, was more common in those patients compared to controls (40.0% versus 13.0%; odds ratio 4.46, 95% confidence interval 2.02 to 9.96; P<0.001). AI patients with metabolic syndrome also had more pronounced metabolic alterations than controls with metabolic syndrome. Interestingly, there was no correlation between the severity or duration of the disease and the levels of respective parameters or the number of criteria defining the metabolic syndrome. Rather, the metabolic syndrome was observed in a disproportionately high percentage of young AI patients.ConclusionsThis study shows for the first time that AI patients have a high prevalence of the metabolic syndrome and all of its criteria. It further suggests that the inflammation present in AI patients does not have a major impact on the development of metabolic alterations. Instead, evidence is given for a role of metabolic alterations in the development of AI. We recommend monitoring of AI patients in order to correct their modifiable cardiovascular risk factors.

Project description:Introduction Schizophrenia is associated with lower life expectancy due to cardiovascular disease. Metabolic syndrome (MetS) occupies an important place among the main problems. Indicators of hormones regulating metabolism may be appealing candidates as biomarkers of metabolic side-effects. Certain role belongs to genetic factors that might be the basis of sensitivity to development of MetS. Objectives The aim is to study polymorphisms of leptin gene (LEP) and serum leptin concentration in schizophrenia patients with metabolic syndrome. Methods After obtaining informed consent, patients with schizophrenia (ICD-10: F20) were included: 91 patients for biochemical research and 463 patients for genotyping. Patients were divided into two groups: 46 (119) with MetS; 45 (344) without it. Concentration of leptin was measured on an analyzer MAGPIX (Luminex, USA). Determination of 4 polymorphisms (rs2167270, rs3828942, rs10954173, rs4731426) of LEP was performed by PCR. Differences were considered significant at p<0.05. Results The leptin concentration is significantly (p<0.001) higher in MetS (13511.5 [7392.5; 28278.75] pg/ml) compared to patients without MetS (6662 [2131.5; 11380] pg/ml). Significant differences were found in the distribution of rs3828942 (GG:GA:AA): 25.9%:44%:30.2% in MetS and 31.2%:52.6%:16.2% without MetS (χ2=10.545, p=0.005). The genotype AA and the allele A have a predisposing effect on the development of MetS (OR1=2.247, C.I:1.248-4.046; OR2=1.475, C.I:1.093-1.991, χ2=6.49, p=0.01). Conclusions A number of features are observed in patients with MetS, which impair the functioning of patients. These investigations should aim to optimize the approach to assess the risk of MetS. The study was supported by grants from the RSF 19-75-10012 (genetic research) and 18-15-00011 (determination of leptin concentration) Disclosure The study was supported by grants from the Russian Science Foundation №19-75-10012 (genetic research) and №18-15-00011 (determination of leptin concentration)

Dataset Information

Prevalence and predictors of metabolic syndrome in schizophrenia patients from Assam.

Background

Objectives

Materials and methods

Results

Conclusion

Publications

Prevalence and predictors of metabolic syndrome in schizophrenia patients from Assam.

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