Increased Framingham 10-year CVD risk in Chinese patients with schizophrenia

Prevalence of lifestyle cardiovascular risk factors and estimated framingham 10-year risk scores of adults with psychotic disorders compared to controls at a referral hospital in Eldoret, Kenya

INTRODUCTION

Lifestyle factors such as smoking, alcohol use, suboptimal diet, and inadequate physical activity have been associated with increased risk of cardiovascular diseases. There are limited data on these risk factors among patients with psychosis in low- and middle-income countries.

OBJECTIVES

This study aimed to establish the prevalence of lifestyle cardiovascular risk factors, and the 10-year cardiovascular risk scores and associated factors in patients with psychosis compared to controls at Moi Teaching and Referral Hospital in Eldoret, Kenya.

METHODS

A sample of 297 patients with schizophrenia, schizoaffective disorder, or bipolar mood disorder; and 300 controls matched for age and sex were included in this analysis. A study specific researcher-administered questionnaire was used to collect data on demographics, antipsychotic medication use, smoking, alcohol intake, diet, and physical activity. Weight, height, abdominal circumference, and blood pressure were also collected to calculate the Framingham 10-year Cardiovascular Risk Score (FRS), while blood was drawn for measurement of glucose level and lipid profile. Pearson's chi-squared tests and t-tests were employed to assess differences in cardiovascular risk profiles between patients and controls, and a linear regression model was used to determine predictors of 10-year cardiovascular risk in patients.

RESULTS

Compared to controls, patients with psychosis were more likely to have smoked in their lifetimes (9.9% vs. 3.3%, p = 0.006) or to be current smokers (13.8% vs. 7%, p = 0.001). Over 97% of patients with psychosis consumed fewer than five servings of fruits and vegetables per week; 78% engaged in fewer than three days of vigorous exercise per week; and 48% sat for more than three hours daily. The estimated 10-year risk of CVD was relatively low in this study: the FRS in patients was 3.16, compared to 2.93 in controls. The estimated 10-year cardiovascular risk in patients was significantly associated with female sex (p = 0.007), older patients (p < 0.001), current tobacco smoking (p < 0.001), and metabolic syndrome (p < 0.001).

CONCLUSION

In the setting of Eldoret, there is suboptimal physical exercise and intake of healthy diet among patients with psychosis and controls. While the estimated risk score among patients is relatively low in our study, these data may be useful for informing future studies geared towards informing interventions to promote healthy lifestyles in this population.

Increased 10-year cardiovascular disease risk in depressed patients with coexisting subclinical hypothyroidism

Purpose

The prevalence of depressive disorder (DD) and subclinical hypothyroidism (SH) was almost twofold higher in women compared with men, both of which are confirmed to be related to cardiovascular disease (CVD) risk. The current study aimed to identify the prevalence of CVD risk factors and evaluate the 10-year CVD risk in female depressed patients with and without comorbid SH.

Methods

We recruited 1744 female inpatients with a diagnosis of DD. Venous blood samples were taken from all patients for lipid and thyroid hormones. Framingham Risk Score (FRS) was used to estimate the 10-year CVD risk.

Results

Female depressed patients with SH had increased BMI, higher Hamilton Anxiety Scale (HAMA) scores, higher LDL-C, TC, UA, and a higher 10-year CVD risk than euthyroid DD groups. Serum TSH levels and HAMA scores were critical predictive variables for 10-year CVD risk in female depressed patients with comorbid SH.

Conclusion

Our study suggests that female depressed patients with SH have a high 10-year CVD risk. Serum TSH levels and HAMA scores may be helpful to predict cardiovascular risk in female patients with SH. The increased CVD risk in female depressed patients with comorbid SH requires more attention from researchers and clinicians.

Adiponectin and Stnfr2 peripheral levels are associated with cardiovascular risk in patients with schizophrenia

OBJECTIVES

To investigate the association between cytokine peripheral levels and the risk of cardiovascular disease in patients with schizophrenia and controls.

METHODS

A sample of 40 patients and 40 control subjects participated in the study. Psychiatric diagnosis was established following structured clinical assessment. The Framingham Score was used to assess cardiovascular risk (CVR). Serum levels of the cytokines IL-1β, IL-6, IL-8, IL-10, IL-12p70 and TNF-α were determined by cytometric bead array (CBA) technique, and the serum levels of IL-33, sST2, sTNFR1, sTNFR2, Leptin and Adiponectin by Enzyme-Linked Immunosorbent assay (ELISA).

RESULTS

Patients with schizophrenia showed greater frequency of moderate CVR when compared with controls (p = 0.14). In addition, patients showed higher levels of sTNFR2 and Adiponectin compared to controls (p = 0.007 and p < 0.001, respectively). Adiponectin and sTNFR2 were associated with CVR only in patients (p = 0.0002 and p = 0.033, respectively). In multivariate analysis controlling for socio-demographic and clinical confounders, illness duration (r = 0.492; p < 0.002) and sTNFR2 (r = 0.665; p < 0.004) were independent predictors of CVR.

CONCLUSION

Our results reinforce the concept that patients with schizophrenia are at greater risk to develop cardiovascular diseases, and suggest that the associated chronic low-grade inflammation might play a role in this process.

Number of episodes and duration of illness associated with hypertension and 10-year cardiovascular risk in patients with bipolar disorder type I

Severe Mental Illnesses, including bipolar disorder (BD) and schizophrenia (SCZ), are burdened with an increased mortality and a significantly reduced life expectancy than general population, and cardiovascular diseases (CVD) are considered the most contributing conditions. The aim of the present study is to evaluate 10-year CV risk and the associated clinical characteristics in patients with SCZ, BD type I and II. Patients were consecutively recruited from two Italian psychiatric acute units. Single CV risk factors were assessed, and 10-year CV risk calculated by means of the CUORE Project 10-year CV risk algorithm, based on the combination of the following risk factors: age, systolic blood pressure, total and high-density lipoprotein cholesterol, diabetes, smoking habit, and hypertensive treatment. Three hundred patients were included. Patients with BD type I showed a higher prevalence of hypertension and 10-year CV risk score compared to the other groups. In subjects with BD type I, we found a significant correlation between duration of illness and number of mood episodes and both hypertension and 10-year CV risk score. Several preventive strategies should be provided to these vulnerable populations, such as correcting unhealthy lifestyles, prescribing medications at lower CV and metabolic risk, enhancing access to care.

Ten-year risk of fatal cardiovascular disease and its association with metabolic risk factors among waste pickers in South Africa

Background

Cardiovascular disease (CVD) is the leading cause of death among non-communicable diseases in South Africa. Several metabolic risk factors contribute to the development of CVD. Informal workers such as waste pickers could be unhealthy lifestyle naive, and most public health research on CVD does not include this understudied population. This study estimated the 10-year risk of fatal CVD and its association with metabolic risk factors in an understudied study population of waste pickers in Johannesburg, South Africa.

Methods

A cross-sectional survey was conducted among waste pickers in two landfill sites in Johannesburg. We used the Systematic Coronary Risk Evaluation (SCORE) risk charts to estimate the 10-year risk of fatal CVD. We then employed ordinary least squares regression to assess the association between the 10-year risk of fatal CVD with metabolic risk factors. Other variables adjusted in the regression model were HIV status, education, income, injuries from work, clinic visits in the previous 12 months, and alcohol consumption.

Results

A total of 370 waste pickers were included in this analysis, 265 (73.41%) were males. The mean age of the participants was 34 years. The majority were between the age of 20 and 39 years. More than 55% of the waste pickers did not visit a clinic in the previous 12 months, and 68.57% were smoking. The 10-year survival probability from CVD was more than 99% for both males and females. In the multivariable regression model, elevated blood glucose showed a non-significant increase in the mean percentage of 10-year risk of fatal CVD. Waste pickers who were overweight/obese, and hypertensive had high statistically significant mean percentages of the 10-year risk of fatal CVD compared to those who did not have the metabolic risk factors.

Conclusions

Prevention of 10-year risk of fatal CVD in this understudied population of waste pickers should target the control of obesity, hypertension, and diabetes. Health awareness and education for waste pickers will be an important step in reducing the burden of these metabolic risk factors. We further recommend that health systems should recognize waste pickers as a high-risk group and consider extensive CVDs surveillance.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12872-021-02150-y.

Cardiovascular risk in patients with severe mental illness in Italy

BACKGROUND

Patients with severe mental illness (SMI), such as schizophrenia or bipolar disorders, are more frequently affected by metabolic syndrome and cardiovascular (CV) diseases than the general population, with a significant reduction in life expectancy. Beyond metabolic syndrome, quantifying the risk of CV morbidity in the long-term may help clinicians to put in place preventive strategies. In this study, we assessed 10-year CV risk in patients with SMI and healthy individuals using an algorithm validated on the Italian general population.

METHODS

Patients aged 35-69 years diagnosed with SMI were consecutively recruited from psychiatric acute care units. Single CV risk factors were assessed, and 10-year CV risk calculated by means of the CUORE Project 10-year CV risk algorithm, based on the combination of the following risk factors: age, systolic blood pressure, total and high-density lipoprotein cholesterol, diabetes, smoking habit, and hypertensive treatment. Patients' data were compared with those from the general population. The 10-year CV risk was log-transformed, and multivariable linear regression was used to estimate mean ratios, adjusting for age, and education.

RESULTS

Three hundred patients and 3,052 controls were included in the analysis. Among men, the 10-year CV risk score was very similar between patients with SMI and the general population (mean ratio [MR]: 1.02; 95%CI 0.77-1.37), whereas a 39% increase in 10-year CV risk was observed in women with SMI compared to the general population (MR: 1.39; 95%CI 1.16-1.66).

CONCLUSIONS

In our study, women with SMI were consistently more at risk than the general population counterpart, even at younger age.

A 10-Year Risk of Cardiovascular Disease among Patients with Severe Mental Illness at Mbarara Regional Referral Hospital, Southwestern Uganda

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide. Patients with severe mental illness (SMI) are at a higher risk for developing CVD and have a higher risk for harboring factors related to CVD. In addition to the effects of antipsychotic medications, unhealthy lifestyle factors, such as poor diet, inadequate physical activity, cigarette smoking, and sedentary behaviors, are known to be risk factors that may contribute to poor cardiovascular health in patients with SMI. Early identification of individuals at elevated risk of CVD is essential so that dietary and lifestyle modifications or pharmacological interventions can be prescribed to alleviate the risk of cardiovascular disease. The objective of the study was to determine the 10-year risk of cardiovascular disease among patients with severe mental illness at Mbarara Regional Referral Hospital, southwestern Uganda. We conducted a cross-sectional study at the outpatient mental health clinic of Mbarara Regional Referral Hospital, between October 2018 and March 2019. We used the Globorisk CVD risk score to estimate the 10-year risk of CVD among patients with SMI, using the online Globorisk calculator. Participants were then assigned to one of three categories depending on their 10-year CVD risk score: <3% (low), 3-10% (intermediate), and >10% (high). We calculated the risk scores of 125 participants aged 40-74 years. Most of the participants were female 75 (60%), had a diagnosis of bipolar disorder 75 (60%), and had mental illness for ≥10 years 57 (46%). Eighty five percent (85%) of the participants had intermediate to high 10-year risk of CVD (64% with intermediate and 21% with high risk). The average risk score was significantly higher in males compared to females, 8.82% versus 6.43%, p = 0.016. We detected a high 10-year risk of CVD in a significant proportion of patients with SMI in southwestern Uganda. We recommend lifestyle modifications and pharmacological interventions to reverse risk or delay progression to CVD in this patient population.

The Relationship between 10 Years Risk of Cardiovascular Disease and Schizophrenia Symptoms: Preliminary Results

OBJECTIVE

Previous research shows that patients with schizophrenia have increased cardiovascular disease risk than general population. Increased cardiovascular risk in schizophrenia patients have been associated with many reasons such as antipsychotic drugs, genetic predisposition, andlifestyle. In this study, we aimed to investigate the relationship between the risk of heart disease and schizophrenia symptomatology.

METHODS

The 10-year cardiovascular risk was assessed by the Framingham Risk Score (FRS) in 103 patients with schizophrenia and in 39 healthy controls. Sociodemographic characteristics, age at schizophrenia onset, duration of illness, number of hospitalizations, the course of the disease and antipsychotic medications were recorded. Patients' symptoms were evaluated via The Scale for the Assessment of Negative Symptoms (SANS), The Scale for the Assessment of Positive Symptoms (SAPS), and Calgary Depression Scale for Schizophrenia (CDSS).

RESULTS

Ten-year cardiovascular risk was 5.16% inpatients with schizophrenia, and 3.02% in control group (p=0.030). No significant correlation was found between FRS scores, SANS, SAPS, and CDSS scores. However, FRS scores were significantly correlated with age, number of hospitalizations and duration of disease (r=0.300, 0.261, 0.252, respectively). Moreover FRS scores were higher (p=0.008) and high-density lipoprotein (HDL) levels were lower (p=0.048) in patients using multiple antipsychotics.

CONCLUSION

Our findings suggest a relationship between the risk of cardiovascular disease and the duration and overall severity of schizophrenia and also highlights the role of antipsychotics in this relationship.

Association of high-sensitivity C-reactive protein in middle-aged and elderly Chinese people with hyperuricaemia and risk of coronary heart disease: a cross-sectional study

OBJECTIVES

Patients with hyperuricaemia are at relatively high risk of developing coronary heart disease (CHD). The purpose of this study was to examine the relationship between high-sensitivity C-reactive protein (hs-CRP) and CHD risk in a middle-aged and elderly population with hyperuricaemia.

DESIGN

A cross-sectional study.

SETTING AND PARTICIPANTS

This study was conducted in a health examination centre of China. Participants were diagnosed with hyperuricaemia based on uric acid concentrations. Specifically, males with a uric acid concentration ≥416 μmol/L were included, as well as females with a concentration ≥360 μmol/L.

MAIN OUTCOME MEASURES

10-year CHD risk for each individual was evaluated using Framingham risk score based on the Adult Treatment Panel III charts.

RESULTS

A total of 517 patients with hyperuricaemia (438 males and 79 females) aged from 40 to 85 years old were included in the present study. 193 (37.3%) patients were defined with relatively high 10-year CHD risk. Compared with the lowest quintile, the crude ORs of relatively high 10-year CHD risks were 1.43 (95% CI 0.78 to 2.63, p=0.245), 2.05 (95% CI 1.14 to 3.67, p=0.016), 2.77 (95% CI 1.54 to 4.98, p=0.001), 2.12 (95% CI 1.18 to 3.80, p=0.012) in the second, third, fourth and fifth quintiles of serum hs-CRP level, respectively (p for trend=0.057). The multivariable-adjusted ORs of relatively high 10-year CHD risk were 1.40 (95% CI 0.75 to 2.61, p=0.291) in the second, 2.05 (95% CI 1.13 to 3.72, p=0.019) in the third, 2.69 (95% CI 1.47 to 4.89, p=0.001) in the fourth and 2.10 (95% CI 1.15 to 3.84, p=0.016) in the fifth quintile of serum hs-CRP level when compared with the lowest quintile (p for trend=0.068).

CONCLUSION

This study showed that ORs of relatively high 10-year CHD risk were raised in patients with hyperuricaemia with higher serum hs-CRP level; however, there was a not significant but borderline trend association and that more research is needed.

[The global cardiovascular risk of patients with schizophrenia hospitalized in psychiatry at the university hospital of Saint-Étienne]

CONTEXT

Patients suffering from schizophrenia present with a risk of cardiovascular death which is two to three times as high as the general population.

OBJECTIVES

Our study aims to evaluate the global cardiovascular risk according to SCORE and Framingham on patients suffering from schizophrenia who have been hospitalized in psychiatric institutions and also to assess whether being under the care of a physician affects that risk.

METHODS

A prospective descriptive epidemiologic study was conducted from April 2005 to March 2016. The study population consisted of adult patients suffering from schizophrenia who were hospitalized in the psychiatric unit of the CHU de Saint-Étienne. The data was collected during the clinical admission examination. The software CARDIORISK was used to compute the global cardiovascular risk according to SCORE and Framingham.

RESULTS

The average cardiovascular risk was about four times as high for males as it was for females according to the SCORE model and twice as high according to the Framingham model. According to the SCORE model, 16.5 % of the patients presented a high cardiovascular risk versus 6.6 % according to the Framingham model. There was no statistically significant difference between patients who were under the care of a physician and those who were not, both in terms of the prevalence of the risk factors and in terms of the global cardiovascular risk.

CONCLUSION

Using the global cardiovascular risk approach as a primary prevention measure could allow patients suffering from schizophrenia to be admitted earlier. Also, regularly reevaluating that risk could allow initiation of behavioral changes and/or important cardiovascular treatments.

10-year CVD risk in Han Chinese mainland patients with schizophrenia

People with schizophrenia have a shortened life expectancy, with cardiovascular disease (CVD) being the primary contributor to this excessive mortality. A total of 466 inpatients with schizophrenia and 507 healthy community controls in the Chinese mainland were recruited in this study. Sociodemographic information, medical history, and smoking history were recorded. In addition, total cholesterol (TC), fasting blood glucose (FBG), triglycerides (TG), and high-destiny lipoprotein cholesterol (HDL-C) were analyzed. The 10-year CVD risk was significantly higher in patients with schizophrenia compared with healthy controls. Male schizophrenia patients had significantly higher Framingham risk scores (FRS) than the females. Patients with schizophrenia carried significantly greater risk factors of CVD; body-mass index (BMI), TG and smoking prevalence were significantly higher than in the health community controls, while FBG and HDL-C were on the contrary. Smoking was significantly associated with FRS among schizophrenia inpatients. Collectively, these results suggest that Han Chinese mainland patients with schizophrenia harbor a high 10-year CVD risk when compared with healthy controls, especially in males. CVD in schizophrenia patients requires greater attention by clinicians and researchers.

Investigating the Agreement Between Cardiovascular Disease Risk Calculators Among People Diagnosed With Schizophrenia

Background: People diagnosed with schizophrenia have a much reduced life expectancy compared to the general population, and a more than doubled risk of dying from cardiovascular disease (CVD). Existing CVD risk calculators can be used to detect people with an elevated predicted risk of CVD to inform interventions to reduce risk. Aims: This study aimed to compare four different risk calculators for 10-year predicted CVD risk in a sample of people with schizophrenia. Methods: Thirty participants with a diagnosis of schizophrenia spectrum disorders living within Greater Manchester, United Kingdom took part. Ten-year predicted cardiovascular risk scores were calculated using four different models: QRISK3, Framingham, PRIMROSE BMI, and PRIMROSE lipid. Risk estimates and classified risk categories were compared. Results: QRISK3 identified 11 (39%) as having >10% risk of a CV event within 10 years, 4 (14%) of whom exceeded 20%. The Framingham model identified 4 (14%) as exceeding 10%, none of whom exceeded 20%. PRIMROSE risk calculators identified no participants as having >10% risk of a CV event within 10 years. Pairwise concordance correlation coefficients between types of model ranged 0.22-0.77. Mean (± SD) age was 40 (± 10) years but QRISK3's mean "Heart age" was 58 (± 14) years. Conclusion: Risk calculators generate differing predicted CVD risk scores for patients with schizophrenia. Using one risk calculator might yield different recommended monitoring and treatment plans compared to another. Clinicians should therefore take into account other patient-related factors, such as patients' preferences and other underlying physical conditions when making treatment decisions.

Cardiovascular Disease Risk Assessment in the United States and Low- and Middle-Income Countries Using Predicted Heart/Vascular Age

Almost 80% of the global burden of cardiovascular disease (CVD) occurs in low- and middle-income countries (LMICs). However, LMICs do not have well-established, low-technology ways to quantify and communicate CVD risk at population or individual levels. We examined predicted heart/vascular age (PHA) in six LMICs and the United States. Data were from CVD-free adults in World Health Organization Study on Global Aging and Adult Health (n = 29094) and US National Health and Nutritional Examination Survey (n = 6726). PHA was calculated using the non-laboratory Framingham CVD risk equation. High excess PHA (HEPHA) was defined as the differences between PHA and chronological age >5 years. Logistic regression models were used to identify factors associated with HEPHA. Age-standardized prevalence of HEPHA was higher in Russia 52%; China 56%; Mexico 59%; and South Africa 65% compared to the US 45%, Ghana 36%; and India 38%. In LMICs, higher income, being divorced/widowed, alcohol intake and abdominal obesity had higher odds of HEPHA; higher education, fruit intake and physical activity had lower odds of HEPHA. The use of PHA may offer a useful avenue to communicate CVD risk. Interventions tailored at socioeconomic and cultural factors that influence CVD risk factors may be necessary to prevent CVD in LMICs.

Cardiometabolic health, prescribed antipsychotics and health-related quality of life in people with schizophrenia-spectrum disorders: a cross-sectional study

BACKGROUND

People with schizophrenia-spectrum disorders (SSD) often have high levels of obesity and poor cardiometabolic health. Certain types of antipsychotics have been shown to contribute towards weight gain and there is some equivocal evidence that obesity is related to poor health-related quality of life (HRQoL) in people with SSD. It is also still uncertain if antipsychotic polypharmacy/higher doses of antipsychotics are linked with HRQoL and/or increased risk of obesity/Cardiovascular Disease (CVD). Therefore, this study aimed to examine potential relationships between prescribed antipsychotic medication regimens, cardiometabolic health risks and HRQoL in community-based Chinese people with SSD.

METHOD

This cross-sectional study reports the results of baseline measurements of a random sample of patients in an ongoing controlled trial of physical health intervention for people with severe mental illness. Data from these randomly-selected participants (n = 82) were analysed to calculate 10-year CVD relative-risk (using QRISK®2 score), estimate the prevalence of metabolic syndrome and contextualize patients' prescribed antipsychotics (types, combinations and Daily Defined Dose equivalent). Patients self-reported their HRQoL (SF12v2) and their obesity condition was assessed by waist-circumference and Body Mass Index (BMI).

RESULTS

Two-thirds of patients had a BMI ≥23 kg/m², almost half were centrally obese and 29% met the criteria for metabolic syndrome. The individual relative-risk of CVD ranged from 0.62 to 15, and 13% had a moderate-to-high 10-year CVD risk score. Regression models showed that lower physical HRQoL was predicted by higher BMI and lower mental HRQoL. Higher Defined Daily Dose, clozapine, younger age and male gender were found to explain 40% of the variance in CVD relative risk.

CONCLUSION

The findings indicate that cardiometabolic health risks in people with SSD may be more common than those reported in the general Hong Kong population. The results also provide further support for the need to consider antipsychotic polypharmacy and higher doses of antipsychotics as factors that may contribute towards cardiometabolic risk in Chinese patients with SSD. Clinicians in Hong Kong should consider using routine CVD risk screening, and be aware that younger male patients who are taking clozapine and prescribed higher Defined Daily Dose seem to have the highest relative-risk of CVD.

TRIAL REGISTRATION

Clinicaltrials.gov NCT02453217 . Prospectively registered on 19^th May 2015.

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.

Cardiovascular risk assessment in patients with a severe mental illness: a systematic review and meta-analysis

BACKGROUND

Cardiovascular risk (CVR) has been observed to be higher in patients with severe mental illness (SMI) than in the general population. However, some studies suggest that CVR is not equally increased in different subgroups of SMI. The purposes of this review are to summarise CVR scores of SMI patients and to determine the differences in CVR between patients with different SMIs and between SMI patients and the control-population.

METHODS

MEDLINE (via PubMed) was searched for literature published through August 28, 2014, followed by a snowball search in the Web of Science. Observational and experimental studies that reported CVR assessments in SMI patients using validated tools were included. The risk of bias was reported using STROBE and CONSORT criteria. Pooled continuous data were expressed as standardized mean differences (SMD) with 95% confidence intervals (CI). Two reviewers independently selected studies, extracted data and assessed methodological quality.

RESULTS

A total of 3,608 articles were identified, of which 67 full text papers were assessed for eligibility and 35 were finally included in our review, in which 12,179 psychiatric patients and 225,951 comparative patients had been assessed. The most frequent diagnoses were schizophrenia and related diagnoses (45.7%), depressive disorders (14.7%), SMI (11.4%) and bipolar disorders (8.6%). The most frequent CVR assessment tool used was the Framingham risk score. Subgroups analysis showed a higher CVR in schizophrenia than in depressive disorder or in studies that included patients with multiple psychiatric diagnoses (SMD: 0.63, 0.03, and 0.02, respectively). Six studies were included in the meta-analysis. Total overall CVR did not differ between SMI patients and controls (SMD: 0.35 [95% CI:-0.02 to 0.71], p = 0.06); high heterogeneity was observed (I (2) = 93%; p < 0.001).

CONCLUSIONS

The summary of results from studies that assessed CVR using validated tools in SMI patients did not find sufficient data (except for limited evidence associated with schizophrenia) to permit any clear conclusions about increased CVR in this group of patients compared to the general population. The systematic review is registered in

PROSPERO

CRD42013003898 .

Lower Incidence of End-Stage Renal Disease but Suboptimal Pre-Dialysis Renal Care in Schizophrenia: A 14-Year Nationwide Cohort Study

Schizophrenia is closely associated with cardiovascular risk factors which are consequently attributable to the development of chronic kidney disease and end-stage renal disease (ESRD). However, no study has been conducted to examine ESRD-related epidemiology and quality of care before starting dialysis for patients with schizophrenia. By using nationwide health insurance databases, we identified 54,361 ESRD-free patients with schizophrenia and their age-/gender-matched subjects without schizophrenia for this retrospective cohort study (the schizophrenia cohort). We also identified a cohort of 1,244 adult dialysis patients with and without schizophrenia (1:3) to compare quality of renal care before dialysis and outcomes (the dialysis cohort). Cox proportional hazard models were used to estimate the hazard ratio (HR) for dialysis and death. Odds ratio (OR) derived from logistic regression models were used to delineate quality of pre-dialysis renal care. Compared to general population, patients with schizophrenia were less likely to develop ESRD (HR = 0.6; 95% CI 0.4–0.8), but had a higher risk for death (HR = 1.2; 95% CI, 1.1–1.3). Patients with schizophrenia at the pre-ESRD stage received suboptimal pre-dialysis renal care; for example, they were less likely to visit nephrologists (OR = 0.6; 95% CI, 0.4–0.8) and received fewer erythropoietin prescriptions (OR = 0.7; 95% CI, 0.6–0.9). But they had a higher risk of hospitalization in the first year after starting dialysis (OR = 1.4; 95% CI, 1.0–1.8, P < .05). Patients with schizophrenia undertaking dialysis had higher risk for mortality than the general ESRD patients. A closer collaboration between psychiatrists and nephrologists or internists to minimize the gaps in quality of general care is recommended.

Associations of high sensitivity C-reactive protein levels in schizophrenia and comparison groups

Schizophrenia is characterized by physical (mainly metabolic and cardiovascular) comorbidity and shortened lifespan. High sensitivity C-reactive protein (hs-CRP), an inflammatory marker of hepatic origin linked to metabolic and cardiovascular diseases and mortality in the general population, has been reported to be elevated in people with schizophrenia. However, the relationship of hs-CRP to psychiatric and medical risk factors, after controlling for potentially confounding variables such as smoking, is not well established in schizophrenia. We assessed hs-CRP levels along with various demographic, psychiatric, and metabolic measures in 88 clinically stable outpatients with schizophrenia or schizoaffective disorder and 71 age epoch-matched comparison subjects with no history of a major psychiatric illness. hs-CRP levels were significantly higher in individuals with schizophrenia than in comparison subjects. Higher hs-CRP levels in the schizophrenia group were associated with female gender, more severe negative symptoms, greater medical comorbidity, and worse metabolic risk factors including BMI, fasting glucose, and hemoglobin A1c levels. hs-CRP was not related to age, race, education, smoking status, antipsychotic dosage, or cognitive impairment. Longitudinal studies are needed to investigate the relationship between hs-CRP and long-term health outcomes including metabolic syndrome, cardiovascular disease, and mortality in schizophrenia.

Total and differential white blood cell counts, high-sensitivity C-reactive protein, and cardiovascular risk in non-affective psychoses

Schizophrenia is associated with increased cardiovascular disease morbidity and mortality. Schizophrenia is also associated with immune and inflammatory abnormalities, including aberrant blood levels of lymphocytes, cytokines and high-sensitivity C-reactive protein (hsCRP). The purpose of this study is to investigate the relationship between total and differential white blood cell (WBC) counts, hsCRP, and indices of cardiovascular disease risk in patients with schizophrenia and related non-affective psychoses. 108 inpatients and outpatients age 18-70 with non-affective psychoses and 44 controls participated in this cross-sectional study. Subjects had a fasting blood draw between 8 and 9am for glucose, lipids, total and differential WBC counts, and hsCRP. Vital signs and medical history were obtained. Patients with non-affective psychosis had significantly higher hsCRP levels than controls (p=0.04). In linear regression analyses, lymphocyte and monocyte counts were a significant predictor of the total-to-HDL cholesterol ratio in subjects with non-affective psychosis (p⩽0.02 for each). In binary logistic regression analyses, total WBC count was a significant predictor of an elevated 10-year estimated risk of myocardial infarction and cardiovascular disease in subjects with non-affective psychosis (p⩽0.03 for each). Associations between total and differential WBC counts and cardiovascular disease risk indices were stronger in males than females with non-affective psychosis. Our findings provide further evidence that measurement of total and differential WBC counts may be germane to the clinical care of patients with schizophrenia and related disorders, and support an association between inflammation and cardiovascular disease risk in these patients.

Vascular age to determine cardiovascular disease risk: A systematic review of its concepts, definitions, and clinical applications

BACKGROUND

Vascular age is an alternate means of representing an individual's cardiovascular risk. Little consensus exists on what vascular age represents and its clinical utility has not been determined. We systematically reviewed the literature to provide a comprehensive overview of different methods that have been used to define vascular age, and to examine its potential clinical value in patient communication and risk prediction.

DESIGN

This was a systematic review with data sources of PubMed and Embase.

RESULTS

We identified 39 articles on vascular age, 20 proposed to use vascular age as a communication tool and 19 proposed to use vascular age as a means to improve cardiovascular risk prediction. Eight papers were methodological and 31 papers reported on vascular age in study populations. Of these 31 papers, vascular age was a direct translation of the absolute risk estimated by existing cardiovascular risk prediction models in 15 papers, 12 derived vascular age from the reference values of an additional test, and in three papers vascular age was defined as the age at which the estimated cardiovascular risk equals the risk from non-invasive imaging observed degree of atherosclerosis. One trial found a small effect on risk factor levels when vascular age was communicated instead of cardiovascular risk.

CONCLUSION

Despite sharing a common name, various studies have proposed distinct ways to define and measure vascular age. Studies into the effects of vascular age as a tool to improve cardiovascular risk prediction or patient communication are scarce but will be required before its clinical use can be justified.

Standard cardiovascular disease risk algorithms underestimate the risk of cardiovascular disease in schizophrenia: evidence from a national primary care database

BACKGROUND

Schizophrenia is associated with increased cardiovascular mortality. Although cardiovascular disease (CVD) risk prediction algorithms are widely in the general population, their utility for patients with schizophrenia is unknown.

METHODS

A primary care dataset was used to compare CVD risk scores (Joint British Societies (JBS) score), cardiovascular risk factors, rates of pre-existing CVD and age of first diagnosis of CVD for schizophrenia (n=1997) relative to population controls (n=215,165).

RESULTS

Pre-existing rates of CVD and the recording of risk factors for those without CVD were higher in the schizophrenia cohort in the younger age groups, for both genders. Those with schizophrenia were more likely to have a first diagnosis of CVD at a younger age, with nearly half of men with schizophrenia plus CVD diagnosed under the age of 55 (schizophrenia men 46.1% vs. control men 34.8%, p<0.001; schizophrenia women 28.9% vs. control women 23.8%, p<0.001). However, despite high rates of CVD risk factors within the schizophrenia group, only a very small percentage (3.2% of men and 7.5% of women) of those with schizophrenia under age 55 were correctly identified as high risk for CVD according to the JBS risk algorithm.

CONCLUSION

The JBS2 risk score identified only a small proportion of individuals with schizophrenia under the age of 55 as being at high risk of CVD, despite high rates of risk factors and high rates of first diagnosis of CVD within this age group. The validity of CVD risk prediction algorithms for schizophrenia needs further research.

The relationship between serum brain-derived neurotrophic factor (BDNF) and cardiometabolic indices in schizophrenia

Brain derived neurotrophic factor (BDNF), which has been implicated in the pathogenesis of schizophrenia, has been recently shown to be involved in the regulation of metabolism and energy homeostasis. This study seeks to examine the relationship between BDNF, metabolic indices and cardiovascular (CVD) risk in patients with schizophrenia. Medical histories, demographic information and anthropometric measurements were collected and analyzed from 61 participants with schizophrenia. Fasting glucose and lipids were measured in a central laboratory, and serum BDNF was analyzed using commercially available enzyme-linked immunosorbent assay (ELISA). The 10-year CVD risk for each participant was computed using the Framingham risk score (FRS). Linear regressions were performed to examine the relationships between serum BDNF with body mass index (BMI), blood pressure (BP), triglycerides (TG), total cholesterol, high-density lipoprotein cholesterol (HDL-C) and glucose. To examine the relationship between serum BDNF and FRS, serum BDNF was categorized into quartiles, and a multiple regression was performed. After adjusting for age, gender and current smoking status, diastolic BP (dBP) (p=0.045) and TG (p=0.015) were found to be significantly associated with serum BDNF. Participants in the highest quartile of serum BDNF had a 3.3 times increase in FRS over those in the lowest quartile. Our findings support the possible regulatory role of BDNF in metabolism and cardiovascular homeostasis among patients with schizophrenia similar to that observed among the non-mentally ill. Serum BDNF not only present itself as a candidate biomarker of schizophrenia but also might be a viable marker of metabolic co-morbidities associated with schizophrenia.

Unraveling the relationship between obesity, schizophrenia and cognition

INTRODUCTION

Previous studies investigating the relationship between obesity and cognition as well as gender differences in these relationships reported equivocal results. Here, we examined age, years of education, schizophrenia, and gender differences which might affect the relationship between obesity and cognition.

METHODS

1012 healthy controls and 707 participants with schizophrenia were recruited. Information on body mass index (BMI) was obtained and a neurocognitive battery was administered. Structural equation modeling (SEM) was performed to examine the relationship between BMI, schizophrenia, cognition and its covariates.

RESULTS

No significant direct effect of BMI on cognition was found when cognition was regressed on age, years of education, diagnosis of schizophrenia and BMI. Instead, two SEM models indicated that indirect effects between BMI and cognition exist. The indirect effect of BMI on cognition through schizophrenia was present in both genders, while the indirect effect of cognition on BMI through schizophrenia was only found in females. BMI affecting cognition through age, years of education and schizophrenia appears to be the most plausible model that explains the data. This indirect effect was larger in females and was masked by diagnosis of schizophrenia.

CONCLUSION

With increased rates of obesity in schizophrenia, it is important to highlight the potentially deleterious effect of obesity on cognition. BMI could be used as a candidate risk marker to identify people at higher risk of cognitive deficits, and as an intervention target for modifications of cognitive outcomes.

The effects of physical exercise in schizophrenia and affective disorders

Affective and non-affective psychoses are severe and frequent psychiatric disorders. Amongst others, they not only have a profound impact on affected individuals through their symptomatology, but also regarding cognition, brain structure and function. Cognitive impairment influences patients' quality of life as well as their ability to work and being employed. While exercise therapy has been implemented in the treatment of psychiatric conditions since the days of Kraepelin and Bleuler, the underlying mechanisms have never been systematically studied. Since the early 1990s, studies emerged examining the effect of physical exercise in animal models, revealing stimulation of neurogenesis, synaptogenesis and neurotransmission. Based on that body of work, clinical studies have been carried out in both healthy humans and in patient populations. These studies differ with regard to homogenous study samples, sample size, type and duration of exercise, outcome variables and measurement techniques. Based on their review, we draw conclusions regarding recommendations for future research strategies showing that modern therapeutic approaches should include physical exercise as part of a multimodal intervention programme to improve psychopathology and cognitive symptoms in schizophrenia and affective disorders.