Literature DB >> 30121981

Does Blood Flow Change according to Mood? Blood Rheology in Bipolar Disorder.

Tevfik Kalelioglu1, Murat Kocabiyik2, Burcu Kok1, Pelin Unalan1, Sule Sozen1, Ozge Yuksel1, Nesrin Karamustafalioglu1.   

Abstract

OBJECTIVE: Bipolar disorder (BD) is associated with increased rates of cardiovascular diseases. There is growing evidence that blood viscosity may have a common role, correlated with well-known major risk factors that promote cardiovascular disease. In this study we aimed to investigate the whole blood viscosity (WBV) in different stages of BD.
METHODS: A total of 121 bipolar patients and 41 age-gender matched healthy controls were included. Forty-four of bipolar patients were in manic, 35 were depressed and 42 were in euthymic state. WBV was calculated from hematocrit and total plasma protein according to Simone's formula at low and high shear rates (LSR and HSR).
RESULTS: WBV at HSR of manic group was 16.91±1.01, depressive group was 17.23±0.80, euthymic group was 17.63±0.95, and control group was 17.52±0.71 (p =0.001). WBV at LSR of manic depressive, euthymic and control group were 53.10±20.58, 60.30±17.02, 8.91±20.33, and 62.01±19.28, respectively (p =0.001). Both WBV at HSR and LSR of manic group was significantly lower than that of the euthymic and control groups (p =0.001 and 0.010 respectively for HSR, p =0.001 and 0.011 respectively for LSR). WBV was significantly positively correlated with lipid profile except high density lipoprotein (HDL).
CONCLUSION: Our results demonstrate a decrement in blood viscosity in manic episode compared with euthymics and controls. Positive correlation of blood viscosity with lipid parameters (except HDL), and negative correlation with number of previous manic episodes suggest that manic episode has favorable effect on cardiovascular risk regarding to blood viscosity.

Entities:  

Keywords:  Bipolar disorder; Blood viscosity; Cardiovascular risk.

Year:  2018        PMID: 30121981      PMCID: PMC6124873          DOI: 10.9758/cpn.2018.16.3.310

Source DB:  PubMed          Journal:  Clin Psychopharmacol Neurosci        ISSN: 1738-1088            Impact factor:   2.582


INTRODUCTION

Bipolar disorder (BD) is associated with an increased risk of cardiovascular diseases (CVD) which is one of the leading cause of shorter life expectancy than general population.1) In addition to well known risk factors for CVD, there is a growing evidence that blood viscosity is associated with increased cardiovascular risk.2) Basically, viscosity can be defined as stickiness and thickness of blood. Internal friction that develops between adjacent layers of flowing blood causes an intrinsic resistance which is also called as viscosity. The velocity gradient during blood flow is called the shear rate. Viscosity is relatively high at low shear rates (LSR), as when blood is moving at a low velocity during diastole. At high shear rates (HSR), as during systole, viscosity relatively decreases.3) Major risk factors for CVD such as hypertension, hyperlipidemia, obesity, cigarette smoking, male gender, and aging have been correlated with whole blood viscosity (WBV). It has been suggested that WBV may have an integrated role with other conventional risk factors in the mechanism of developing CVD.4) In previous studies, both physical and emotional stress have been shown to cause changes in hemorheologic measures such as hematocrit (HCT), hemoglobin, total plasma protein (TP) concentrations, whole blood and plasma viscosity.5,6) Early studies of hemorheologic measures among patients diagnosed with BD have shown that although hematologic parameters remained in the normal range during acute mood exacerbations, mood episodes are associated with a redistribution of body fluids. Mania was found to be associated with a relative fluid retention and hemodilution, while depression is associated with a relative hemoconcentration.7,8) In our study we evaluated the WBV at LSR and HSR with Simone’s formula. According to this formula, WBV is calculated from HCT and TP for LSR as “WBV (0.5 sec−1)=(1.89×HCT)+3.76 (TP−78.42)” and HSR as “WBV (208 sec−1)=(0.12×HCT)+0.17 (TP−2.07)”.9) Although individuals with BD suffer from cardiovascular morbidity and WBV has a potential to reflect this relationship, there is no clinical study about the WBV in patients with BD. In the current study, for the first time we explored the WBV in manic, depressive and euthymic states of BD and compared with healthy controls. Higher manifestation of cardiovascular mortality in BD has been documented before the use of psychotropic medication, suggesting that also the illness itself contributes cardiovascular risk.10) Therefore, we hypothesized that the blood viscosity which has a potential to reflect the cardiovascular risk status, should be higher in BD patient groups than healthy controls.

METHODS

Participants

BD in-patients with mania in the current episode, hospitalized or outpatients with BD depression and euthymic outpatients according to the Diagnostic and Statistical Manual of Mental Disorders 5th edition (DSM-5) criterion, were screened for the study. Severity of mania was evaluated with the Young Mania Rating Scale (YMRS). Bipolar depression was assessed with the 17-Item Hamilton Depression Rating Scale (HAM-D); a severity score of 20 or greater was required for inclusion. Euthymic state was defined as YMRS ≤7 and HAM-D score ≤7.11) Diagnosis of patient groups was established by a consensus of two senior psychiatrists following a psychiatric interview according to DSM-5. Additionally age, gender and smoking status matched healthy controls were enrolled in the study. Healthy controls were selected between hospital employees with no previous history of psychiatric disorder, mental retardation, alcohol and/or substance abuse and presence of acute infectious disorder and renal dysfunction. All groups were composed of male individuals between the ages of 18–65 years. Exclusion criteria were any co-morbid psychiatric disorder other than BD, mental retardation, alcohol and/or substance abuse, presence of acute infectious disorder and renal dysfunction. Blood samples were drawn in the morning at around 8 a.m. from a forearm vein at the end of an overnight fasting period for at least 8 hours to obtain standardization for water-food intake. Routine biochemical evaluation and hemogram tests were performed for all participants. This study protocol was approved by local ethical committee at Bakırköy Mental Health Research and Training State Hospital (No. 02.05.2017/20). All participants and/or their legal representatives provided written informed consent before participating in the study.

Statistics

The categorical variables were presented as percentages and continuous variables were reported as mean±standard deviation. Chi-square test was used for comparison of categorical variables. The normality of the distribution was assessed by the Kolmogorov-Smirnov test. In comparing the continuous variables between groups, Kruskal-Wallis test for nonparametric and analysis of variance (ANOVA) with Tukey’s post-hoc analysis for parametric values, were used. For pairwise group comparison of nonparametric continuous variables, Bonferroni corrected Mann Whitney U test was performed. Spearman’s correlation test was used to determine the linear associations between variables. The level of significant difference was regarded as p<0.05. Statistical analysis was performed using Statistical Package for Social Sciences (SPSS) version 22 for Windows (IBM Co., Armonk, NY, USA).

RESULTS

Forty-four manic, 35 depressed, 42 euthymic BD patients and 41 healthy age and gender matched controls were included in the study. All groups were consisted of male individuals. There was no statistically significant difference according to mean age between groups (38.22±11.37 years for manic, 41.54±10.29 years for depressed, 40.52±10.90 years for euthymic, and 39.02±10.69 years for controls; p=0.530). Statistically significant difference was observed between manic (11.65±9.42 years), depressive (17.54±9.55 years) and euthymic (14.96±9.18 years) groups in terms of illness duration (p=0.009) (pairwise comparisons; manic vs. depressive [p=0.009], manic vs. euthymic [p=0.156], depressive vs. euthymic [p=0.597]). The average YMRS scores of manic and euthymic patients were 37.38±7.21 and 0.09±0.3 respectively, and HAM-D scores of depressed and euthymic patients were 41.74±4.55 and 0.26±0.66 respectively. The smoking status and body mass index (BMI) were not statistically different between groups (χ2=4.56, p=0.207 and 0.503 respectively). Regarding lipid profile of manic, depressive, euthymic and control groups; total cholesterol levels were 163.77±27.97 mg/dl, 188.88±57.87 mg/dl, 186.54±43.91 mg/dl, 199.78±38.24 mg/dl respectively (p<0.001); low density lipoprotein (LDL) cholesterol levels were 91.78±27.63 mg/dl, 111.92±60.01 mg/dl, 109.49±39.83 mg/dl, and 127.73±34.70 mg/dl respectively (p<0.001); high density lipoprotein (HDL) cholesterol levels were 43.38±12.38 mg/dl, 38.25±11.04 mg/dl, 44.78±12.52 mg/dl, and 43.97±11 mg/dl respectively (p=0.054); and triglyceride levels were 141.15±94.84 mg/dl, 217.17±159.68 mg/dl, 160.92±99.96 mg/dl, and 138.14±66.18 mg/dl respectively (p=0.014) (Table 1).
Table 1

Characteristics and lipid profile of groups

CharacteristicManicDepressiveEuthymicControlp value
Age (yr)a38.22±11.3741.54±10.2940.52±10.9039.02±10.690.530
Duration of illness (yr)b11.65±9.4217.54±9.5514.96±9.18-0.009**
YMRS score37.38±7.21-0.09±0.3-<0.001**
HAM-D score-41.74±4.550.26±0.66-<0.001**
Previous manic episodes5.55±4.593.87±3.804.59±3.60-
Previous depressive episodes1.68±1.394.88±3.662.06±1.65-
BMI (kg/m2)b27.59±6.5827.56±4.0627.28±5.1426.03±3.470.503
Smoking status (yes)c70.4%68.5%50.0%63.4%0.207
Total cholesterol (mg/dl)b163.77±27.97188.88±57.87186.54±43.91199.78±38.24<0.001**
LDL (mg/dl)b91.78±27.63111.92±60.01109.49±39.83127.73±34.70<0.001**
HDL (mg/dl)b43.38±12.3838.25±11.0444.78±12.5243.97±110.054
Triglyceride (mg/dl)b141.15±94.84217.17±159.68160.92±99.96138.14±66.18<0.014*

Values are presented as mean±standard deviation or percent only.

YMRS, Young Mania Rating Scale; HAM-D, Hamilton Depression Rating Scale; BMI, body mass index; LDL, low density lipoprotein; HDL, high density lipoprotein.

One-way ANOVA,

Kruskal-Wallis test, and

chi-squared test were used;

p<0.05,

p<0.01.

Except 3 patients, manic group was medication free (of two were under treatment with valproate and 1 with lithium). Depressed patients were medicated with anti-psychotics (94.3%), lithium (62.9%), antidepressants (37.1%), valproat (28.6%), lamotrigine (17.1%), and karbamazepine (2.9%). Euthymic patients were under treatment with antipsychotics (76.2%), lithium (73.8%), valproat (31%), carbamazepine (2.4%), and lamotrigine (2.4%). In terms of comorbid medical illness, 2 of manic (1 thyroid disease, 1 hypertension), 9 of depressive (3 thyroid disease, 5 diabetes, 1 hypertension), 3 of euthymic (1 thyroid disease, 1 hypertension, 1 diabetes), and 4 of controls (3 diabetes, 1 thyroid disease) were under medical treatment. None of participants had previous history of CVD. When we compare the components of WBV, there was no statistically significant difference between groups in terms of HCT (44.35±3.67% for manic, 44.24±2.74% for depressed, 44.53±2.93% for euthymic, and 45.64±3.55% for controls, p=0.199). Total protein level of manic group (70.24±4.60 g/L) was statistically significantly lower than that of the euthymic (74.36±5.07 g/L) and control (72.94±3.68 g/L) groups (p<0.001 and p=0.031 respectively). However, there was no significant statistical difference between depressive patients (72.19±4.24 g/L) and none of other groups regarding to total protein levels. HCT and total protein levels are shown in Table 2.
Table 2

Comparison of whole blood viscosity (WBV) and its components

VariableManicDepressiveEuthymicControlsp value
WBV at LSR53.10±20.5860.30±17.0268.91±20.3362.01±19.280.001*
WBV at HSR16.91±1.0117.23±0.8017.63±0.9517.52±0.710.001*
Total protein (g/L)70.24±4.6072.19±4.2474.36±5.0772.94±3.68<0.001*
HCT (%)44.35±3.6744.24±2.7444.53±2.9345.64±3.550.199

Values are presented as mean±standard deviation.

LSR, low shear rate; HSR, high shear rate; HCT, hematocrit.

One-way ANOVA test was used;

p<0.01.

In respect of viscosity, WBV at HSR value of manic group was 16.91±1.01, depressive group was 17.23±0.80, euthymic group was 17.63±0.95, and control group was 17.52±0.71 (p=0.001). Regarding WBV at LSR values, also statistically significant difference was observed between groups (p=0.001). LSR values of manic depressive, euthymic and control group were 53.10±20.58, 60.30±17.02, 68.91±20.33, and 62.01±19.28 respectively (Table 2). After adjustment for age, smoking, BMI, hypertension, cholesterol, trygliceride, and drug medication with ANCOVA mean values of manic, depressive, euthymic and control groups were as follows: for HSR 17.08±0.84, 17.15±0.83, 17.61±0.80, and 17.43±0.83 respectively (p=0.017); for LSR 56.82±17.06, 58.36±17.12, 68.31±16.46, and 63.99±16.97 respectively (p=0.011), pairwise comparisons of WBV at LSR and HSR are presented in Table 3.
Table 3

Pairwise comparisons (p values) of WBV at LSR and HSR

WBV at LSRaWBV at HSRaTCbLDLbHDLbTGb
Manic vs. Depressive1.0001.0000.046*0.2320.037*0.003**
Manic vs. Euthymic0.014*0.024*0.7240.4040.016*0.063
Manic vs. Control0.3810.3760.0760.003**0.019*0.005**
Depressive vs. Euthymic0.0780.1150.006**0.029*0.6470.304
Depressive vs. Control1.0000.964<0.001**<0.001**0.8190.604
Euthymic vs. Control1.0001.0000.1550.025*0.8590.597

WBV, whole blood viscosity; LSR, low shear rate; HSR, high shear rate; TC, total cholesterol; LDL, low density lipoprotein; HDL, high density lipoprotein; TG, triglyceride; BMI, body mass index.

ANCOVA (analysis of covariance) test results adjusted for age, smoking, BMI, hypertension, cholesterol, trygliceride, and drug medication with Bonferroni’s post-hoc analysis and

Mann-Whitney U tests were used;

p<0.05,

p<0.01.

There were statistically significant correlations between WBV and lipid parameters except HDL. When we evaluate the number of previous episode types, we observed a negative, moderate and statistically significant correlation between number of previous manic episodes and WBV in individuals with BD (Table 4).
Table 4

Correlations between whole blood viscosity (WBV) and lipid profile, previous episodes

Total cholesterolLDLHDLTriglycerideNumber of manic episodesNumber of depressive episodes
WBV at HSRr ho=0.320r ho=0.167r ho=−0.092r ho=0.282r ho=−0.406r ho=−0.118
p<0.001**p=0.036*p=0.248p<0.001**p<0.001**p=0.282
WBV at LSRr ho=0.310r ho=0.157r ho=−0.091r ho=0.283r ho=−0.404r ho=−0.126
p<0.001**p=0.049*p=0.249p<0.001**p<0.001**p=0.252

LDL, low density lipoprotein; HDL, high density lipoprotein; HSR, high shear rate; LSR, low shear rate.

Spearman’s correlation test was used;

p<0.05,

p<0.01.

DISCUSSION

Adult individuals with BD have a 5-fold increased risk of CVD and manifest CVD 14 years earlier than the population without mood disorders. The traditional cardiovascular risk factors associated with BD are obesity, metabolic syndrome, insulin resistance, diabetes, dyslipidemia, hypertension.10) WBV has been independently correlated with major CVD risk factors. Previous studies suggest that elevated WBV contribute to the risk of developing CVD and may be potentially valuable and useful routine profiling data for cardiovascular risk stratification.3,4) There is a limited number of studies evaluating blood rheology in psychiatric disorders. Effect of psychological stress on hemoconcentration has been studied previously. In patients with panic disorder, pentagastrin induced panic symptoms has been found in relation with decreased plasma volume and increased hemoglobin and HCT levels that resulting acute stress-hemoconcentration.12) In a randomized clinical trial conducted by Wong et al.,13) WBV was found to be higher in individuals with unipolar depression (UD) when compared with controls. After 8 weeks of antidepressant treatment, hemorheological parameters of stress-hemoconcentration has improved in UD patient group. Abovementioned studies indicate that blood rheology is affected in emotional stress conditions such as psychiatric disorders in both short and long term. To our knowledge this is the first study in the literature evaluating blood viscosity in BD. The major findings of our study are i) decreased blood viscosity in manic patients compared with euthymic group; ii) concordant with the first finding, there was negative correlation between blood viscosity and number of previous manic episodes in BD subjects; and iii) blood viscosity showed a positive correlation with total cholesterol, LDL and triglyceride levels supporting that blood viscosity may have a common role in cardiovascular morbidity with major risk factors such as lipid profile. Although WBV at LSR and HSR were highest in euthymic group no statistically significant difference was observed between euthymic-depressive and euthymic-control groups. Interestingly, in contrast to our hypothesis viscosity was significantly lowest in manic group. When we investigated the literature about cardiovascular risk factors at different stages of BD, we found that the risk of CVD was similar to that of our findings in manic episode. Wysokiński et al.14) have compared lipid profile of BD manic, BD depressive, unipolar depressive, and schizophrenic patients. In terms of total cholesterol, LDL and triglycerides; manic group showed the lowest values. Likewise, in another study, manic patients had significantly lowest cholesterol levels when compared with unipolar or bipolar depressive episode, schizophrenia, schizoaffective disorder, atypical psychosis, and controls.15) Atmaca et al.16) also demonstrated low cholesterol levels in manic group when compared with euthymic and control groups. Taken together, similar to our finding, the abovementioned studies suggest a diminished cardiovascular risk in manic stage. Imbalance of fluid homeostasis may be another explanation of decreased blood viscosity in manic state. Previous case reports have indicated that mania is associated with pathological variations in body weight, retention of water, and accompanied by pathological thirst.17) In a longitudinal study conducted by Hochman et al.,7) HCT, hemoglobin, and albumin values were used as indirect measures of hemodilution/hemoconcentration. The authors have reported that during manic episodes, the mean hemoglobin, albumin, and sodium concentrations and HCT were lower than in depressive episodes, suggesting that manic state is characterized by a relative hemodilution. Another study supporting causal relationship between and mood and fluid imbalance demonstrates that mania is associated with an increased risk of lower limb edema. Total protein levels of manic group were significantly lowest in this study.18) In a study by Mert and Terzi8) hematologic parameters such as hemoglobin, HCT levels in manic episode was also found to be lower than controls. Taken together, previous studies have indicated that manic episode have been associated with decreased levels of hematologic and biochemical parameters which may reflect a relative hemodilution. Decreased blood viscosity of manic patients in our study may be associated with such a hemodilution. In our study manic group had more previous manic episodes and depressive group had more previous depressive episodes. The consept of “Predominant Polarity” may be an explanation for increased number of previous manic episodes in manic group and also increased depressive episodes in depressive group.19) Negative correlation between blood viscosity and previous number of manic episodes is also interesting. Further studies evaluating the effect of “Predominant Polarity” on blood viscosity are needed to discuss our finding. There was no correlation between blood viscosity and previous depressive episodes. Limitations of our study are as follows; we hypothesized that BD subjects should have increased blood viscosity reflecting high cardiovascular risk. Although euthymic patients have the highest level of WBV, relatively small sample size might not be adequate for statistically significant results. Blood viscosity has several components. Parameters effecting blood viscosity may interact with each other to provide a balanced homeostasis.20) Therefore confirming our results with viscometer measurement would strengthen our results despite the fact that Simone’s formula was previously studied and confirmed. In conclusion, we have demonstrated a decrement of blood viscosity in manic episode. In contrast to our hypothesis, although WBV was not useful to reflect a hypothetical increase in cardiovascular risk in bipolar subjects; surprisingly, in concordance with lipid parameters, WBV also has shown a favorable effect of manic episode. Positive correlation of blood viscosity with lipid parameters (except HDL), and negative correlation with number of previous manic episodes indicate that manic episode has favorable effect on cardiovascular risk in terms of blood viscosity.
  20 in total

1.  Association between bipolar episodes and fluid and electrolyte homeostasis: a retrospective longitudinal study.

Authors:  Eldar Hochman; Abraham Weizman; Avi Valevski; Tsvi Fischel; Amir Krivoy
Journal:  Bipolar Disord       Date:  2014-08-20       Impact factor: 6.744

Review 2.  Importance of blood rheology in the pathophysiology of atherothrombosis.

Authors:  Aimee Q Cowan; Daniel J Cho; Robert S Rosenson
Journal:  Cardiovasc Drugs Ther       Date:  2012-08       Impact factor: 3.727

3.  Medical burden in bipolar disorder: findings from the Clinical and Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder study (Bipolar CHOICE).

Authors:  Louisa G Sylvia; Richard C Shelton; David E Kemp; Emily E Bernstein; Edward S Friedman; Benjamin D Brody; Susan L McElroy; Vivek Singh; Mauricio Tohen; Charles L Bowden; Terence A Ketter; Thilo Deckersbach; Michael E Thase; Noreen A Reilly-Harrington; Andrew A Nierenberg; Dustin J Rabideau; Gustavo Kinrys; James H Kocsis; William V Bobo; Masoud Kamali; Melvin G McInnis; Joseph R Calabrese
Journal:  Bipolar Disord       Date:  2014-08-16       Impact factor: 6.744

4.  Peripheral adenosine levels in euthymic patients with bipolar disorder.

Authors:  Carolina Gubert; Cesar Eduardo Jacintho Moritz; Mirela Paiva Vasconcelos-Moreno; Bárbara Tietböhl Martins Quadros Dos Santos; Juliana Sartori; Adam Fijtman; Márcia Kauer-Sant'Anna; Flávio Kapczinski; Ana Maria Oliveira Battastini; Pedro Vieira da Silva Magalhães
Journal:  Psychiatry Res       Date:  2016-10-05       Impact factor: 3.222

Review 5.  The mechanistic relationships between hemorheological characteristics and cardiovascular disease.

Authors:  Kenneth R Kensey
Journal:  Curr Med Res Opin       Date:  2003       Impact factor: 2.580

6.  Serum leptin and cholesterol levels in patients with bipolar disorder.

Authors:  Murad Atmaca; Murat Kuloglu; Ertan Tezcan; Bilal Ustundag; Yilmaz Bayik
Journal:  Neuropsychobiology       Date:  2002       Impact factor: 2.328

Review 7.  Major Depressive Disorder and Bipolar Disorder Predispose Youth to Accelerated Atherosclerosis and Early Cardiovascular Disease: A Scientific Statement From the American Heart Association.

Authors:  Benjamin I Goldstein; Mercedes R Carnethon; Karen A Matthews; Roger S McIntyre; Gregory E Miller; Geetha Raghuveer; Catherine M Stoney; Hank Wasiak; Brian W McCrindle
Journal:  Circulation       Date:  2015-08-10       Impact factor: 29.690

8.  The Association between Whole Blood Viscosity and Coronary Collateral Circulation in Patients with Chronic Total Occlusion.

Authors:  Mehmet Serkan Cetin; Elif Hande Ozcan Cetin; Kevser Gülcihan Balcı; Selahattin Aydin; Emek Ediboglu; Muhammed Fatih Bayraktar; Mustafa Mücahit Balcı; Orhan Maden; Ahmet Temizhan; Sinan Aydogdu
Journal:  Korean Circ J       Date:  2016-11-01       Impact factor: 3.243

9.  Elevated stress-hemoconcentration in major depression is normalized by antidepressant treatment: secondary analysis from a randomized, double-blind clinical trial and relevance to cardiovascular disease risk.

Authors:  Ma-Li Wong; Chuanhui Dong; Karin Esposito; Sarika Thakur; Weiqing Liu; Robert M Elashoff; Julio Licinio
Journal:  PLoS One       Date:  2008-07-16       Impact factor: 3.240

10.  Mean platelet volume in bipolar disorder: the search for an ideal biomarker.

Authors:  Derya Guliz Mert; Hatice Terzi
Journal:  Neuropsychiatr Dis Treat       Date:  2016-08-16       Impact factor: 2.570

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