Case Report
Austin J Psychiatry Behav Sci. 2014;1(1): 1001.
Incidence of Weight Gain and Hyper Lipidemia with a Typical Antipsychotic Treatment: A Prospective Community Based Clinical Study
Antony S Amaladoss1*, Christopher Balram2 and Wang A3
1Department of psychiatry and behavioral science,McMaster University, Canada
2Department of Health & Wellness, University of Prince Edward Island, Canada
3Department of Health Fredericton, University of New Brunswick, Canada
*Corresponding author: Antony S Amaladoss, Joseph Brant Memorial Hospital, Burlington, Ontario, Canada
Received: January 20, 2014; Accepted: February 24, 2014; Published: March 05, 2014
Abstract
Atypical Antipsychotic (AAPS) have been found to be effective in various psychiatric conditions however evidence of treatment, emergent weight gain and hyperlipidemia limit their clinical benefits.
Objective: To determine the incidence of treatment emergent weight gain and hyperlipidemia with atypical antipsychotics.
Method: Patients with schizophrenic and non-schizophrenic conditions were randomly started on AAPS .Weight, BMI, triglycerides were measured every 3 months from the base line for one year.
121 enrolled, 119 completed the one year follow up study.
Male : 69; Female: 50; Olanzapine: 51; Risperidone: 59; Quetiapine: 8; Clozapine: 1.
Data Analysis: Descriptive and inferential analysis was carried out except Clozapine to examine the effects on weight, BMI and triglycerides.
Limitataions: Polypharmacy and ethnicity were not considered.
Results:
Mean Weight Gain:
Males: Risperidone 7.5 kg > Olanzapine 5.353 kg > Quetiapine 4.43 KG.
Females: Olanzapine 4.71 grams >Quetiapine 3.81 grams >Risperidone 3.14 kg.
Percentage of weight gain – more than 7%:
Males: Risperidone 46% > Quetiapine 33%>Olanzapine 16%
Females: Quetiapine 40% >Olanzapine 35% >Risperidone 9%
BMI
Overweight:
Males: Quetiapine 100%> Olanzapine 58.06%> Risperidone 51.35%
Females: Quetiapine 80%> Risperidone 50% >Olanzapine 45%
Obesity
>Males: Quetiapine 33.33% >Olanzapine 32.26%> Risperidone 16.22%
Females: Risperidone 50%> Quetiapine 20% >Olanzapine 20%
Mean Triglycerides
Males: Risperidone 1.92> Olanzapine 1.7
Females: Olanzapine 1.97 > Risperidone 1.78
Percentage of Hyperlipidemia
Males: Olanzapine 54.84% >Risperidone 43.24%>Quetiapine 33.33%
Females: Quetiapine 80% > Olanzapine 65% > Risperidone 45.45%
Hyper Lipidemia Related to Age and Disease
Risperidone – Mostly seen in the 20 to 40 years age group
Olanzapine – Mostly seen in 61 years plus.
Olanzapine seems to be having more propensity to induce hyper–lipidemia in Schizophrenia and Bi–polar disorder.
Odd ratio
Olanzapine Vs Risperidone – 1.81% (S.e.(O) 0.70034827).
Conclusion: The results show that atypical antipsychotic do affect weight, BMI and Triglycerides in varying degree and in relation to age, gender and disease which has significant clinical implications that warrant close monitoring with ongoing education on life style, diet and exercise in a heuristic manner.
Introduction & Background
Patients with chronic psychiatric disorders are at increased risk for morbidity and mortality resulting from various medical diseases including respiratory diseases, infectious diseases, obesity, diabetes mellitus and cardiovascular disease [1].
In patients with schizophrenia and affective disorder the prevalence of risk factor for cardiovascular disease is approximately 1.5 to 2 times higher than the rate in the general population [2].
Mood disorders associated with obesity and it has been postulated gluco–corticoids play a central role in that role in the patho genesis ofmetabolic syndrome [3,4].
It has been evidenced all atypical antipsychotics induce weight gain and hyperlipidemia [5–7]. However, nearly all psychotropic medications induce weight gain [8–10].
The use of the atypical anti–psychotics is not confined to the treatment of schizophrenia but used to treat a broad array of other psychiatric disorders for which it has been found effective [11].
Recently there is a general consensus of varying adverse effects on weight and triglycerides with atypical antipsychotic have been proposed [12–18].
Hence this one year prospective study has been undertaken to quantify the incidence of weight gain and hyperlipidemia due to atypical anti–psychotics, which may enhance physicians in their clinical decision making.
Objective
To determine treatment effects of atypical antipsychotics on weight and triglycerides in both schizophrenic and non–schizophrenic conditions in a community setting.
Methods
Patients with schizophrenic and non —schizophrenic conditions were started randomly on atypical antipsychotics. Weight, BMI and triglycerides were measured every 3 months from the baseline for one year. There were 121 patients were enrolled in the study and 119 of them completed the one year follow up. There were 69 males and 50 females.
Treatment breakdown was as follows:
Olanzapine 51: risperidone 59: quetiapine 8: and Clozapine 1
The variables included in the analysis were
BMI– overweight is more than 25 to 29.9, Obesity is above 30
Hyperlipidemia is more than 1.7mmol⁄l.
Analysis and Interpretation
Descriptive and inferential analyses were carried out to examine the treatment effects on weight, BMI and triglycerides and in relationships to age, gender and disease. Clozapine was omitted from the analysis as there was only one patient.
The number of patients treated with Quetiapine is low compared to Olanzapine and Risperidone, yet, included as it is statistically viable, but, this needs to be taken into consideration while interpreting the results. It should be noted that polypharmacy and ethnicity were not taken into consideration.
The study reveals that more males were treated with atypical antipsychotics than females. Descriptive projection of drugs, age, gender and diagnosis can be seen in tables 1–4 & Figure 1. The age group under 19 years had been treated mostly with risperidone. A higher percentage of obesity 42.42% has been seen in schizophrenic patients and this validates the question of whether it is due to drugs or lifestyle or disease related. The mean weight gain more in females with risperidone , 7.57 kg SD 8.34 and more in females with olanzapine 4.71 kg SD 4.67.
Figure 1 :Mean age by drug and gender for all follow ups and all age groups.
Number of patients
F
M
Clozapine
Olanzapine
Quetiapine
Risperidone
1
20
5
22
0
31
3
37
Table 1: Frequency distribution of antipsychotic drug use by gender.
Number of patients
Age-groups
Olanzapine
Quetiapine
Risperidone
0-19
3
2
20
20-40
18
1
14
41-60
17
5
16
61+
13
9
Total
51
8
59
Table 2: Frequency distribution of antipsychotic drug use by age-groups and drugs for gender combined.
Frequency
Percent
Attention Deficit Disorder (ADD)
17
14.29
Anxiety Disorder (Anx)
4
3.36
Behavioural Disorder (Beh)
2
1.68
Bipolar Disorder (Bipolar)
21
17.65
Mood Disorder (Mood)
23
19.33
Organic Brain Syndrome (OBS)
9
7.56
PDD
1
0.84
Schizophrenia (Schizo)
41
34.45
Schizophrenia With Diabetes (Schizo with Dia)
1
0.84
Total
119
100
Table 3: Frequency (count and percentage) distribution of patients by diagnosis.
Female
Msale
Olanzapine
Risperidone
Olanzapine
Risperidone
Age
51
47
41
28
Table 4: Mean age by drug and gender for all follow ups and age-groups.
The percentage of weight gain distribution seen more in males with risperidone 94.5% CI 79.87,99.10 than with Olanzapine 51.61% CI, 31.67 to 71.55 (Tables 5–11; Figures 2–5).
Figure 2: Mean weight gain within 12 months by drugs for gender combined.
Figure 3: Mean weight gain within 12 months by drugs for males.
Figure 4: Mean weight gain within 12 months by drugs for females.
Figure 5: Percentage distribution of weight gain by drugs with 95% confidence interval.
Mean
Standard Deviation
Maximum
Olanzapine
5.02
4.57
18
Quetiapine
4.1
3.06
9.6
Risperidone
6.06
7.27
40.92
Table 5: Descriptive statistics of weight gain by drugs.
Mean
Standard Deviation
Maximum
Olanzapine
5.35
4.58
15.00
Quetiapine
4.43
4.57
9.60
Risperidone
7.57
8.34
40.92
Table 6: Descriptive statistics of weight gain by drugs for males.
Mean
Standard Deviation
Maximum
Olanzapine
4.71
4.67
18
Quetiapine
3.85
2.14
5.46
Risperidone
3.14
3.03
12.82
Table 7: Descriptive statistics of weight gain by drugs for females.
Weight gain
Lower Cl
Upper Cl
Olanzapine
64.71
50.29
79.13
Quetiapine
87.50
40.25
99.52
Risperidone
89.83
78.23
95.87
Table 8: Percentage distribution of weight gain by drugs.
Total in sample
Number with weight gain
Proportions with weight gain
Olanzapine
51
33
0.647
Quetiapine
8
7
0.875
Risperidone
59
53
0.898
Overall
118
93
0.788
Table 9: Significance testing of percentages of weight gain by drugs.
pi
0.788
qi
0.212
n1.*(p1-p(total))^2
1.015035402
n2.*(p2-p(total))^2
0.060363401
n3.*(p3-p(total))^2
0.716101695
Table 10: Conclusion: The three proportions are significantly different at 0.01 level.
Total in sample
Number with weight gain
Proportions with weight gain
Olanzapine
31
16
0.516
Quetiapine
3
3
1.000
Risperidone
37
35
0.946
Overall
71
54
0.761
Table 11: Significance testing of percentages of weight gain by drugs for males.
Figure 6: Percentage distribution of weight gain by drugs for males with 95% confidence interval.
Figure 7: Percentage distribution of weight gain by drugs for females with 95% confidence interval.
Weight gain more than 7% has been seen in males with risperidone 46% , with quetiapine 33% and with olanzapine 16% and in females , quetiapine 40% ,with Olanzapine 35% and risperidone 9% (Tables 12–16; Figures 8–10).
Figure 8: Percentage distribution of weight gain >7% by drugs.
Figure 9: Percentage distribution of weight gain >7% with 12 months by drugs for males.
Figure 10: Percentage of weight gain >7% by drugs for females.
pi
0.761
qi
0.239
n1.*(p1-p(total))^2
1.852192665
n2.*(p2-p(total))^2
0.086917157
n3.*(p3-p(total))^2
0.499235315
Total
2.438345137
X2
13.40641381s
Table 12: Conclusion: The three proportions for males are significantly different at 0.01 level.
Total in sample
Number with weight gain
Proportions with weight gain
Olanzapine
20
17
0.850
Quetiapine
5
4
0.800
Risperidone
22
18
0.818
Overall
47
39
0.830
Table 13: Significance testing of percentages of weight gain by drugs for females.
pi
0.83
qi
0.17
n1.*(p1-p(total))^2
0.008171118
n2.*(p2-p(total))^2
0.004436397
n3.*(p3-p(total))^2
0.002963085
Total
0.0155706
X2
0.110351521
Table 14: Conclusion: The three proportions for females are not significantly different at 0.01 level.
Counts with weight gain > 7%
Total in sample
Percent
Olanzapine
12
51
0.24
Quetiapine
3
8
0.38
Risperidone
19
59
0.32
Total
34
118
0.29
Table 15: Percent distribution of weight gain >7% within 12 months by drugs.
Counts with weight gain > 7%
Total in sample
Percent
Olanzapine
5
31
0.16
Quetiapine
1
3
0.33
Risperidone
17
37
0.46
Table 16: Percent distribution of weight gain >7% within 12 months by drugs for males.
Overweight range has been seen in males with quetiapine 100% , with olanzapine 58.06% and with risperidone 51.35% and in females with Quetiapine 90% , with Risperidone 51.35% and in females with Quetiapine 45% . OR is equal to 1.31%, 95% CI (.14,1.51 for gender combined) (Tables 17–22; Figures 11–15).
Figure 11: Mean BMI by drugs and gender for all age groups and all followups.
Figure 12: Percentage distribution of overweight by drugs with 95% confidence interval.
Figure 13: Percentage distribution of obesity by drugs with 95% confidence interval.
Figure 14: Percentage distribution of overweight by drugs for females with 95% confidence interval.
Figure 15: Percentage distribution of obesity by drugs for females with 95% confidence interval.
Counts with weight gain > 7%
Total in sample
Percent
Olanzapine
7
20
0.35
Quetiapine
2
5
0.40
Risperidone
2
22
0.09
Table 17: Percent distribution of weight gain >7% within 12 months by drugs for females.
Total in sample
Number with weight gain > 7%
Number with weight gain <=7%
Proportions with weight gain > 7%
Olanzapine
51
12
39
0.235
Quetiapine
8
3
5
0.375
Risperidone
59
19
40
0.322
Overall
118
34
84
0.288
Table 18: For gender combined.
pi
0.288135593
qi
0.711864407
n1.*(p1-p(total))^2
2.823529412
n2.*(p2-p(total))^2
1.125
n3.*(p3-p(total))^2
6.118644068
Total
10.06717348
X2
49.08099563
Table 19: Conclusion: The three proportions for gender combined are significantly different at 0.01 level.
Total in sample
Number with weight gain > 7%
Number with weight gain <=7%
Proportions with weight gain > 7%
Olanzapine
31
5
26
0.161
Quetiapine
3
1
2
0.333
Risperidone
37
17
20
0.459
Overall
71
23
48
0.324
Table 20: For male.
pi
0.761
qi
0.239
n1.*(p1-p(total))^2
0.806451613
n2.*(p2-p(total))^2
0.333333333
n3.*(p3-p(total))^2
7.810810811
Total
8.950595757
X2
49.21181531
Table 21: Conclusion: The three proportions for males are significantly different at 0.01 level.
Olanzapine
Quetiapine
F
25.22
30.31
M
28.24
25.88
Table 22: Mean BMI by drugs and gender for all age-groups and all follow-ups.
Obesity range has been seen in males with quetiapine 33.33%, with Olanzapine 32.26% and with Risperidone 16.22% and with females with Risperidone 50% , olanzapine 20% and with Quetiapine 20% . OR is 1.12, 95%CI (–4.81 ,2.34).
It is interesting to note that the mean of triglycerides for males with Risperidone 1.92 > Olazapine 1.7 and in female Olanzapine 1.97> Risperidone 1.78 and this correlates with the observed weight gain pattern as shown above (Tables 23–28; Figures16–19).
Figure 16: Mean triglycerides by drugs and age groups for gender combined and all follow ups.
Figure 17: Percentage distribution of dyslipidemia by drugs and dender.
Figure 18: Percentage distribution of dyslipidemia by drugs with 95% confidence interval.
Figure 19: Percentage distribution of dyslipidemia by drugs for females with 95% confidence interval.
Overweight
obesity
Olanzapine
F
45
20
M
58.06
32.26
Quetiapine
F
80
20
M
100
33.33
Risperidone
F
50
50
M
51.35
16.22
Table 23: Percentage distribution of overweight and obesity by drugs and gender.
Total in sample
Number with over weight
Proportions with over weight
Olanzapine
51
27
0.529
Quetiapine
8
7
0.875
Risperidone
59
30
0.508
Overall
118
64
0.542
Table 24: Significance testing of percentages of overweight by drugs.
pi
0.542
qi
0.457627119
n1.*(p1-p(total))^2
0.008567518
n2.*(p2-p(total))^2
0.8851264
n3.*(p3-p(total))^2
0.06779661
Total
0.961490528
X2
3.87378302
Table 25: Conclusion: The three proportions are not significantly different at 0.01 level.
Total in sample
Number with over weight
Proportions with over weight
Olanzapine
20
9
0.450
Quetiapine
5
4
0.800
Risperidone
22
11
0.500
Overall
47
24
0.511
Table 26: Significance testing of percentages of overweight by drugs for females.
pi
0.510638298
qi
0.489361702
n1.*(p1-p(total))^2
0.073540063
n2.*(p2-p(total))^2
0.418650973
n3.*(p3-p(total))^2
0.002489814
Total
0.494680851
X2
1.979619565
Table 27: Conclusion: The three proportions for females are not significantly different at 0.01 level.
Total in sample
Number with obesity
Proportions with obesity
Olanzapine
51
14
0.275
Quetiapine
8
2
0.250
Risperidone
59
17
0.288
Overall
118
33
0.280
Table 28: Significance testing of percentages of obesity by drugs.
Figure 20: Mean triglycerides by drugs and gender for all follow ups and all age groups.
Figure 21: Mean triglycerides by drugs and follow ups fro gender combined and all age groups.
Figure 22: Mean of triglycerides by drugs and follow ups for male and all age groups.
Figure 23: Mean triglycerides by drugs and follow ups for females and all age–groups.
pi
0.280
qi
0.720338983
n1.*(p1-p(total))^2
3.659282041
n2.*(p2-p(total))^2
0.683855214
n3.*(p3-p(total))^2
3.813559322
Total
8.156696577
X2
40.48978365
Table 29: Conclusion: The three proportions are significantly different at 0.01 level.
Total in sample
Number with obesity
Proportions with obesity
Olanzapine
31
10
0.323
Quetiapine
3
1
0.333
Risperidone
37
6
0.162
Overall
71
17
0.239
Table 30: Significance testing of percentages of obesity by drugs for males.
pi
0.239
qi
0.76056338
n1.*(p1-p(total))^2
1.797518414
n2.*(p2-p(total))^2
0.094311151
n3.*(p3-p(total))^2
4.493117835
Total
6.3849474
X2
35.06156846
Table 31: Conclusion: The three proportions for males are significantly different at 0.01 level.
0-19
20-40
41-60
61+
Olanzapine
1.49
1.70
1.76
2.07
Risperidone
1.07
3.03
2.00
1.57
Table 32: Mean triglycerides by drugs and age-groups for gender combined and all follow ups.
F
M
Olanzapine
65
54.84
Quetiapine
80
33.33
Risperidone
45.45
43.24
Table 33: Percentage distribution of dyslipidemia by gender and groups.
dyslipidemia
Lower Cl
Upper Cl
Olanzapine
58.82
43.99
73.65
Quetiapine
62.5
21.75
91.75
Risperidone
44.07
30.28
57.86
Table 34: Percentage distribution of dyslipidemia by drugs.
Total in sample
Number with dyslipidemia
Proportions with dyslipidemia
Olanzapine
31
17
0.548
Quetiapine
3
1
0.333
Risperidone
37
16
0.432
Overall
71
34
0.479
Table 35: Significance testing of percentages of dyslipidemia by drugs for males.
pi
0.479
qi
0.521126761
n1.*(p1-p(total))^2
0.149797467
n2.*(p2-p(total))^2
0.174437906
n3.*(p3-p(total))^2
0.746442685
Total
1.070678058
X2
4.290372091
Table 36: Conclusion: The three proportions for males are not significantly different at 0.01 level.
Total in sample
Number with dyslipidemia
Proportions with dyslipidemia
Olanzapine
20
13
0.650
Quetiapine
5
4
0.800
Risperidone
22
10
0.455
Overall
47
27
0.574
Table 37: Significance testing of percentages of dyslipidemia by drugs for females.
pi
0.574
qi
0.425531915
n1.*(p1-p(total))^2
0.114101403
n2.*(p2-p(total))^2
0.254323223
n3.*(p3-p(total))^2
0.316391621
Total
0.684816248
X2
2.801405724
Table 38: Conclusion: The three proportions for females are not significantly different at 0.01 level.
F
M
Olanzapine
Risperidone
Olanzapine
Risperidone
1.97
1.78
1.70
1.92
Table 39: Mean triglycerides by drug and gender for all follow ups and all age groups.
3 Months
6 Months
9 Months
12 Months
Olanzapine
1.79
1.75
1.87
1.82
Risperidone
1.95
2.00
1.76
1.76
Table 40: Mean triglycerides by drugs and follow ups for gender combined and all age groups.
3 Months
6 Months
9 Months
12 Months
Olanzapine
1.64
1.62
1.78
1.77
Risperidone
1.94
2.14
1.82
1.77
Table 41: Mean triglycerides by drugs and follow ups for males and all age groups.
3 Months
6 Months
9 Months
12 Months
Olanzapine
2.02
1.95
2.00
1.90
Risperidone
1.98
1.76
1.67
1.74
Table 42: Mean triglycerides by follow ups and drugs for females and all age groups.
dyslipidemia
Normal triglycerides
Olanzapine
30
21
Risperidone
26
33
OR
1.81
s.e.(o)
0.70034827
Table 43: The standard error is used to gauge the precision of the estimated odds ratio. OR represents Odds Ratio. s.e.(o) represents standard error of the odds ratio.
The percentage of hyper lipidemia for males with Olanzipine 54.84%> Risperidone 43.24% > Quetiapine 33.33% and for females Quetiapine 80%> Olanzapine 65% > Risperidone 45.45%.
Age related incidence
The highest incidence of hyperlipidemia seen between the age group of 20 to 40 years with Risperidone and for Olanzapine it has been evidenced in the age group of 61 +.
It is evidenced higher incidence of weight gain and hyperlipidemia in schizophrenia and bipolar disorder compared to other conditions (Tables 29–32; Figures 20–23).
The Odd Ratio for hyperlipidemia with Olanzapine Vs Risperidone is 1.81(SE (O) .77034827)
Discussion
This is the only study, to the author’s knowledge which examined the effects of treatment with, atypical anti psychotics in both schizophrenic and non–schizophrenic patients in a non– academic community setting and attempted to examine the effects in relation to age, gender and disease.
The study reveals alterations in weight seen from the baseline in all three atypical anti–psychotics but showing a differential trend in relation to age, gender and disease. It shows that males gain more weight with risperidone and females gain more weight with Olanzapine.
It is also evidenced that all three drugs induce hyperlipidemia in varying degree, but, showing a differential trend in relation to age, gender and disease.
One could see that male seems to be having more propensities with Risperidone and female with Olanzapine and similar pattern is shown with the weight gain. This reveals probable correlation exists between weight gain and hyperlipidemia.
In terms of age, it is quite interesting to note that the highest propensity for hyper lipidemia is seen in the age group of 20 to 40 years with Risperidone and Quetiapine, whereas, the highest incidence seen in the age group of 61 years plus with Olanzapine. This may signify importance in the clinical scenario and may enhance physicians decision making in their clinical management enlightening the need to do close monitoring when they prescribe either of the atypical for any particular gender or the age group.
Conclusion
This is the first study to the author’s knowledge revealing varying effects with atypical anti–psychotics treatment on weight, and triglycerides and in relationship to age, gender and disease.
It is evidenced in this prospective study that atypical antipsychotics do affect weight, BMI and triglycerides at varying degrees and there is no conclusive explanation to date of these effects attributed solely to the pharmacodynamic profile of the drugs.
It may be beneficial to be cognizant of these adverse varying effects of the drugs, in relation to age, gender and disease which may induce metabolic or cardiovascular morbidities. It is prudent to advocate individual close monitoring with ongoing education on life style, diet, and exercise rather discriminating the drugs with heightened risk and discarding their clinical efficacy in various psychiatric conditions.
In every clinical management, it is the benefit and risk discretion values the judgment and this valued clinical prudence advocates the wisdom of heuristic attitude in following up the patients on atypical antipsychotics, on an individual basis.
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