Long-Term Effectiveness of Liraglutide in Association with Patients’ Baseline Characteristics in Real-Life Setting in Croatia: An Observational, Retrospective, Multicenter Study
verfasst von:
Maja Cigrovski Berkovic, Ines Bilic-Curcic, Davorka Herman Mahecic, Marina Gradiser, Mladen Grgurevic, Tomislav Bozek
Glucagon-like peptide-1 (GLP-1) receptor agonists (RAs) are recommended therapy for type 2 diabetes (T2DM) and liraglutide is the most used worldwide. We assessed the glycemic efficacy and extra-glycemic effects of liraglutide during 36 months’ follow-up of individuals with poorly regulated T2DM under routine clinical practice and sought to identify the phenotype of treatment responders.
Methods
A total of 207 individuals were included. The primary endpoint was the proportion of participants with HbA1c < 7.0% and/or weight reduction. Secondary endpoints included changes in lipids, blood pressure, fasting c-peptide, and antidiabetic treatment during follow-up of 3 years.
Results
Liraglutide was prescribed to 89.8% of participants already on at least two antidiabetic medications and 18% on insulin. Subject's mean age was 53.28 ± 9.42 years with duration of diabetes 8.29 ± 4.89 years. Baseline HbA1c was 8.5 ± 1.3% and body mass index (BMI) was 39 ± 4.5 kg/m2. Reduction of HbA1c was observed in 84.4% of participants, and 89.2% experienced average weight reduction of 5 kg. A composite outcome (reduction of HbA1c with any weight loss) was achieved in 76.2% of patients. After 6 months on liraglutide treatment, 38.1% of participants achieved target HbA1c level < 7%. This effect was maintained for 36 months in 50.8% of subjects. Increase in c-peptide was evident after 24 months (p = 0.030). Participants experienced a significant reduction in systolic blood pressure (BP) (p = 0.003), while there was no effect on diastolic BP, lipid profile, or liver enzymes. The number of participants treated with sulfonylurea decreased from 60.8% to 17.5%, while the number treated with insulin and sodium-glucose co-transporter-2 (SGLT-2) inhibitor increased (17.6% to 24.6% and 2.5% to 36.8%, respectively). Independent predictors of durability of HbA1c reduction were initial BMI (p = 0.004), HbA1c (p < 0.001), systolic BP (p = 0.007), and cholesterol (p = 0.020). Moreover, female gender and shorter duration of diabetes were independent predictors for HbA1c reduction.
Conclusion
Liraglutide shows sustained glycemic and extra-glycemic effects when used for treatment of obese poorly regulated individuals with T2DM.
Good glycemic control is the aim in type 2 diabetes treatment, and if implemented early it is associated with the prevention and/or delay of chronic micro- and macrovascular complications [1]. Recently, the importance of a patient-centered approach has been emphasized, which could include the possibility to address the extra-glycemic targets in diabetic patients, including weight, cardiovascular risk factors, and beta cell preservation [2‐4]. In this context, glucagon-like peptide-1 receptor agonist (GLP-1RA) therapy represents the opportunity for individuals with type 2 diabetes mellitus to reach glycemic targets without hypoglycemia, and with additional benefits primarily related to weight loss. Liraglutide is a once daily GLP-1RA with proven efficacy and safety through the LEAD clinical trial program [5‐10]. The majority of included patients in the LEAD program were obese, had long duration of disease, and added comorbidity. Results suggested the potential for an HbA1c decrease of 1.5%, with low risk of hypoglycemia, reduction of weight (−1.7 kg), and were all more pronounced when liraglutide was added during earlier stages of the disease [11]. Moreover, published data from the LEADER randomized control trial suggest cardiovascular benefit with liraglutide added to treatment of individuals with high cardiovascular risk [12]. In the real world, however, liraglutide is mainly suggested as a second- and third-line therapeutic agent by different national and international diabetes associations [13]. Nonetheless, data from clinical practice, following patients from 6 to up to 24 months, suggest its favorable effect in the majority of patients either with weight loss or HbA1c reduction. We analyzed the characteristics and long-term treatment success data for 207 patients in Croatia on liraglutide treatment as an add-on to standard of care. In Croatia, liraglutide was launched in September 2013, and according to national health insurance policy it is reimbursed when added to individuals with type 2 diabetes failing glycemic targets on at least two antidiabetic agents, whose BMI exceeds 35 kg/m2.
The aim was to investigate whether the efficacy of liraglutide observed in randomized controlled trials (RCTs) translates into therapeutic benefits in the Croatian population during routine clinical practice and follow-up period of 36 months.
Anzeige
Methods
This observational, retrospective, multicenter study included adults with type 2 diabetes who had liraglutide added to the treatment after failure of at least two antidiabetic agents. Patients were recruited from six tertiary and secondary hospital centers in Croatia (Zagreb, Osijek, and Čakovec). All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964, as revised in 2013. Ethical approval was obtained at participating centers. Electronic records are kept for all individuals treated with liraglutide, and for the purposes of this research data were extracted by treating physicians. All centers participated in patient enrollment equally, thus limiting the recruitment bias. Included for further analysis were data from individuals with type 2 diabetes and poor glycemic control (HbA1c > 7%), with available data on weight, BMI, blood pressure, aminotransferases, lipid profile, and fasting c-peptide levels. Excluded were patients treated with liraglutide for less than 6 months. Adherence to liraglutide was evaluated by physicians on the basis of what patients reported and clinical judgment. For all patients, the following data were collected at baseline and control visits: age, duration of diabetes, sex, diabetic medications, HbA1c, weight, height, BMI, systolic and diastolic blood pressure, fasting and postprandial blood glucose levels, creatinine, aminotransferases (ALT, AST), lipid profile (total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides), and where available fasting c-peptide levels. The fasting blood glucose levels, HbA1c, lipid profile, aminotransferases, and c-peptide levels were measured before follow-up visit in laboratories using standardized methods for quantification, while postprandial blood glucose was measured by patients as a part of self-monitoring of blood glucose (SMBG). Blood pressure and weight were collected at each follow-up visit; no control is available with regard to the scales and blood pressure monitors used for these measurements. Liraglutide titration started with dose of 0.6 mg sc once daily for a week, followed by 1.2 mg sc once daily, followed by a maximal dose of 1.8 mg daily. The time frame for dose escalation from 1.2 to 1.8 mg daily was at the physician’s discretion, but not shorter than a week. Participants were followed during outpatient visits after 6, 12, 18, 24, and 36 months. Changes in HbA1c, fasting blood glucose (FBG), postprandial blood glucose (PPG), weight, BMI, blood pressure, aminotransferases, lipids, and fasting c-peptide levels were assessed and analyzed. Moreover, an evaluation of the maintenance dose of liraglutide and changes in combined antidiabetic treatments was investigated. The primary study endpoint was the proportion of participants with HbA1c < 7.0% and/or BMI reduction. Secondary endpoints included changes in lipids, blood pressure, fasting c-peptide, and antidiabetic treatment during follow-up of up to 3 years.
Statistical Methods
Descriptive statistics was used to describe the basic features of the sample in a study (relative frequencies for categorical data, and mean ± standard deviation for normally distributed continuous variables, or median and interquartile range for variables deviating from normal distribution). Binary or categorical outcome variables were analyzed with Chi square test when testing for differences in observed frequencies. For testing statistical significance of differences between independent groups, ANOVA was used whenever variance was homogenous (tested by Levene’s test of equality of variances). For repeated measures (paired samples) paired t test for two measurements and repeated-measures ANOVA (one-way and two-way repeated measures ANOVA) for three or more measurement points were used. Binary logistic regression was used to identify predictors increasing odds for HbA1c reduction (binary dependent variable), and linear regression analysis was used when the dependent variable was measured on a continuous scale. Most baseline characteristics were included in the regression analysis model. Variables were entered and pairwise method was used for treating missings (extraced varible by varible). All statistical comparisons are two-tailed and they were considered significant at the p < 0.05.
Results
Participants’ Characteristics
A total of 207 adults with type 2 diabetes were included in the present analysis. There were 95 (45.9%) men and 112 (54.1%) women, mean age 53.28 ± 9.42 years, who had liraglutide added to the treatment after an average of 8.29 ± 4.89 years of diabetes duration. Baseline HbA1c was 8.5 ± 1.3%, with average BMI 39 ± 4.5 kg/m2. We included patients who were treated with liraglutide for at least 6 and up to 36 months. There were 71.0% of subjects who were followed for 6 months, 66.7% for 12 months, 61.8% for 18 months, 39.1% for 24 months, and 29.5% for 36 months. The majority of participants received 1.8 mg doses of liraglutide (64.9% vs 33.8% on 1.2 mg dose). Baseline characteristics of participants are summarized in Table 1. Before initiating liraglutide, 182 (88%) were on metformin, 123 (59%) on sulfonylurea, 94 (45%) on dipeptidyl peptidase-4 (DPP-4) inhibitors, and a small number (5%) were switching to liraglutide from exenatide, 5 participants (2%) received sodium-glucose co-transporter-2 inhibitors (SGLT-2i), while 38 (18%) were on insulin before liraglutide initiation. As many as 185 (89.8%) participants were on a combination therapy of two and three antidiabetic agents, and a small proportion (3.4%) received four antidiabetic agents prior to liraglutide introduction.
Table 1
Parameters of glucoregulation, including blood pressure, lipid profile, and liver enzymes after follow-up period of 36 months
Baseline
After 6 months of treatment
After 12 months of treatment
After 18 months of treatment
After 24 months of treatment
After 36 months of treatment
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
BMI, kg/m2
39.02
4.46
36.71*
3.86
36.38*
3.70
36.49*
3.57
36.38*
3.48
36.49*
3.30
HbA1c %
8.49
1.29
7.32*
0.97
7.27*
1.06
7.26*
1.08
7.39*
1.32
7.06*
0.85
FBG, mmol/l
10.17
2.86
7.69*
2.28
7.57*
1.86
7.38*
1.75
7.85*
2.61
7.19*
1.66
PPG, mmol/l
11.85
3.07
9.35*
2.17
9.07*
2.59
8.59*
2.15
8.67*
1.94
8.30*
1.26
Cholesterol, mmol/l
5.09
1.09
4.79
0.97
4.76
1.01
4.60
0.91
4.78
0.96
4.61
0.63
HDL, mmol/l
1.21
0.43
1.19
0.31
1.14
0.29
1.19
0.24
1.20
0.26
1.13
0.28
LDL, mmol/l
3.04
0.98
2.78
0.88
2.80
0.88
2.81
0.79
3.08
2.66
2.78
0.77
Triglyceride, mmol/l
2.60
2.20
1.97
0.98
2.02
0.93
1.91
0.70
1.98
1.16
1.97
0.73
AST, mmol/l
29.55
13.07
25.58
10.97
25.36
10.65
27.57
9.73
23.93
11.17
23.14
7.23
ALT, mmol/l
36.97
16.15
32.19
17.36
30.20
15.56
31.07
13.68
30.86
17.57
30.95
9.48
C-peptide
1.19
0.53
1.39
0.55
1.47
0.48
1.59
0.41
1.56*
0.47
1.69*
0.32
Systolic BP, mmHg
142.97
14.05
134.41*
10.26
135.13*
9.72
132.98*
10.88
138.01
10.63
133.51*
8.96
Diastolic BP, mmHg
86.68
12.86
82.17
10.79
82.93
8.34
82.47
8.48
85.41
7.49
84.36
8.78
* p < 0.05
Glycemic Efficacy, Weight Reduction, and Effect on Extra-Glycemic Parameters
Parameters of glucoregulation and extraglycemic parameters including blood pressure, lipid profile, and liver enzymes after a follow-up period of 36 months are presented in Table 1. Repeated-measures ANOVA shows a statistically significant decrease in HbA1c, FBG, and PPG in all time points during the follow-up period (p < 0.001). The post hoc test shows a significant decrease after 3 months compared to the baseline (p < 0.001) that is maintained at all other time points (p < 0.01 for all) (Fig. 1). Average reduction of HbA1c after 6 months was 1.27%, with further gradual decrease over time, and after 36 months of treatment it reached a reduction of 1.34% (Fig. 2). A statistically significant decrease in BMI was observed during a period of 36 months (p < 0.001) with significant decrease after 3 months compared to the baseline (p < 0.001) that is maintained at all other monitoring points (all p < 0.05). Body weight reduction showed the same trend; after 6 months of treatment average weight loss is 5 kg, reaching 7 kg after 36 months of treatment (Fig. 2).
Fig. 1
Parameters of glucoregulation over a period of 36 months
Fig. 2
Average decrease of HbA1c and body weight over a period of 36 months
×
×
Anzeige
A significant increase in fasting c-peptide was also present; however, it was visible 24 months after the initiation of liraglutide (p = 0.030). There were no significant differences in total cholesterol, LDL, HDL, and triglyceride levels as well as liver enzymes. When analyzing blood pressure values, there was a significant reduction in systolic BP (p = 0.003). Reduction was already present after 3 months (p = 0.032) and, although this reduction was not maintained at all measurement points, systolic BP was significantly lower after 36 months compared to baseline (p = 0.006). Changes in diastolic BP were not statistically significant. A series of two-way ANOVAs was used to check the effect of age and duration of diabetes on the regulation of the observed parameters. There was no significant interaction of duration of diabetes and age on observed glycemic and extraglycemic parameters (data not shown).
Relationship Between Liraglutide and Other Antidiabetic Drugs
In order to analyze changes in concomitant glucose-lowering therapy, patients were divided into groups according to background therapy in the following way: the metformin group was treated with metformin as monotherapy at baseline, later in combination with liraglutide; in the insulin group, patients received insulin in combination with any other glucose-lowering agent; those treated with sulfonylurea (SU) in combination with other oral antidiabetics (OADs) or liraglutide were assigned to the SU group; subjects treated with DPP-4i or SGLT-2i in combination with metformin were assigned to the DPP-4i or SGLT-2i group, respectively; those subjects allotted as other received acarbose or thiazolidinediones in combination with metformin. Over a period of 36 months, the most noticeable difference was the reduction in the number of patients treated with sulfonylurea (from 60.8% to 17.5%). It was also evident that the number of patients treated with insulin increased slightly (from 17.6% to 24.6%), with significant increase in the use of SGLT-2i (from 2.5% to 36.8%). However, the number of patients treated with metformin alone in combination with liraglutide initially increased in the first 6 months (from 3.4% to 22.8%) followed by a considerable decrease until the end of the follow-up period (from 22.8% to 14%). As was expected after the introduction of liraglutide, no patients were treated with DPP-4i.
Potential Predictors of Successful Response to Liraglutide Therapy
A composite outcome (reduction of HbA1c with any weight loss) was achieved by 76.2% of total participants included in the study, reduction of HbA1c was observed in 84.4% of participants, while 89.2% of participants experienced weight reduction (Table 2). In order to define predictors of response to liraglutide, binary logistic regression was performed including all baseline characteristics and only baseline HbA1c and prior insulin therapy were predictive of successful response. However, when we analyzed for statistically significant predictors of HbA1c reduction using linear regression analysis, baseline HbA1c was once again the only predictor after 6 months of GLP-1RA therapy, but after 36 months initial BMI (p = 0.004), HbA1c (p < 0.001), systolic BP (p = 0.007), and initial cholesterol (p = 0.020) were all independent predictors of HbA1c reduction (Table 3).
Table 2
Percentage of patients achiving reduction in HbA1c and BMI after period of 6 months
Responders
Number
Percentage
No decrease in either BMI or HbA1c
3
2.5
Decrease in both BMI and HbA1c
93
76.2
Decrease in BMI
109
89.2
Decrease in HbA1c
103
84.4
HbA1c > 7
79
61.9
HbA1c ≤ 7.0%
68
38.1
Table 3
Predictors of HbA1c reduction after 36 months of liraglutide treatment
Linear regression analysis Model
Standardized coefficients
Significance
Beta
t
1 (Variable)
(Constant)
1.760
0.089
Duration of DM
0.064
0.594
0.557
BMI before liraglutide introduction
− 0.314
− 3.188
0.004*
ALT before liraglutide treatment
− 0.034
− 0.238
0.813
AST before liraglutide treatment
− 0.243
− 1.737
0.093
HbA1c before liraglutide introduction
− 0.790
− 5.762
0.000*
FBG before liraglutide treatment
− 0.135
− 0.935
0.358
PPG before liraglutide treatment
0.104
0.792
0.435
C-peptide level before liraglutide treatment
0.182
1.704
0.100
Systolic blood pressure before liraglutide treatment
0.305
2.893
0.007*
Diastolic blood pressure before liraglutide treatment
After 6 months on liraglutide treatment 38.1% of our participants achieved target HbA1c level < 7% (Table 2). This effect was maintained for 36 months, since 50.8% of patients at the end of the follow-up period were at the target level (Fig. 3). In this case binary logistic regression analysis showed that male patients have 65% less chance of achieving HbA1c target level after 6 months (OR 0.35, CI 0.14–0.88, p = 0.024). Also, a borderline statistically significant variable was duration of diabetes (OR 2.68, CI 0.97–7.40, p = 0.057), indicating that patients with shorter duration of diabetes (3–9 years) had more than two and half times greater chance of reaching HbA1c target after 6 months compared to those suffering from diabetes for more than 10 years (Table 4).
Fig. 3
Percentage of patients achieving HbA1c < 7% over a period of 36 months
Table 4
Clinical parameters predictive of achieving target value for HbA1c (≤ 7%)
Significance
OR
95% CI for EXP(B)
Gender (male)
0.024*
0.355
0.144 ± 0.875
Duration of diabetes
0.091
Up to 2 years
0.076
4.976
0.847 ± 29.240
3–9 years
0.057*
2.683
0.972 ± 7.404
Age (< 65)
0.923
0.956
0.382 ± 2.390
FBG before liraglutide treatment (up to 7mmol)
0.084
4.034
0.830 ± 19.616
PPG before liraglutide treatment (up to 11.1 mmol)
0.111
2.080
0.846 ± 5.114
Systolic BP before liraglutide (normal < 140)
0.240
1.814
0.672 ± 4.900
Diastolic BP before liraglutide (normal < 90)
0.571
0.764
0.301 ± 1.936
Insulin
0.718
0.783
0.209 ± 2.942
SU
0.560
0.728
0.251 ± 2.115
Incretin
0.165
0.499
0.187 ± 1.331
Constant
0.663
0.670
Linear logistic regression analysis model; * p < 0.05
FBG fasting blood glucose, PPG postprandial blood glucose, OR odds ratio
×
Discussion
In this multicenter, observational, retrospective analysis following participants on liraglutide from 6 to 36 months, we analyzed baseline phenotype characteristics of type 2 diabetic individuals that could predict long-standing glycemic control and weight-loss maintenance together with additional extraglycemic effects. Data from RCTs on liraglutide have shown favorable results in terms of glycemic control, weight, and recently available results of CVOT suggest cardioprotective effects of liraglutide in a high-risk diabetic patient population [11, 12]. Oftentimes, individuals with type 2 diabetes in the real-world setting do not share exact characteristics of RCT populations, so data from clinical practice are needed to more closely depict responders to specific therapy [13].
Until now, real-life studies with follow-up mainly up to 24 months have shown the efficacy and safety of liraglutide as a valuable therapeutic option for T2DM treatment [14]. As in our study, most of the published observational studies demonstrated significant reduction of HbA1c of on average 0.9–2.26%, which is consistent with LEADER RCT results where HbA1c reduction ranged from 0.8% to 1.83% [15]. Also, in observational studies, one third of the patients achieved target HbA1c ≤ 7%, while as many as 46% of our patients managed to achieved this goal, as confirmed by LEADER RCT, where 35–45% of patients reached the HbA1c target [16].
The composite endpoint, which was defined as reduction of HbA1c with any weight loss, was achieved in 76.2% of our patients which is a rather high percentage compared to the published data so far (16.9–47%) [16‐18], but the reason could be a difference in the definition of composite outcomes since previous studies used the NICE criteria (percentage of patients with HbA1c reduction ≥ 1% and weight reduction ≥ 3%) [19].
Previous studies have shown that liraglutide has a beneficial effect on body weight independent of initial BMI (−1.3 to −8.65 kg), but the effect is more pronounced if the initial body mass is greater [16, 20, 21]. In Croatia it is regulated by national health care providers that only individuals with BMI over 35 kg/m2 receive liraglutide treatment without co-payment, which explains why as many as 89.2% of our patients had a significant loss of body weight, on average 5–7 kg [22].
Anzeige
Effectiveness of liraglutide and long-term control over 3 years, which was maintained regardless of previous therapy (including insulin and SU), has been recently demonstrated and is also supported by our findings [15, 20, 23]. In addition, a beneficial effect regarding systolic blood pressure was also noted, but there was no effect on lipid profile observed in other studies [15, 20, 23]. This difference can be explained by the specific phenotype of our participants who all had a BMI above 35 kg/m2 and statin co-treatment. Hence, liraglutide’s effect on lipid profile could not be as pronounced as in other studies including individuals with type 2 diabetes and BMI ranging from 25 to 40 kg/m2.
C-peptide levels increased with liraglutide treatment supporting the in vivo and in vitro evidence of its effect on improvement and restoration of beta cell function [24, 25].
Meta-analysis of the LEAD program showed improvement of liver enzymes in individuals with type 2 diabetes, mainly explained by weight loss and better glycemic control [26]. In the LEAN study, liraglutide therapy led to histological improvement of non-alcoholic steatohepatitis in T2DM individuals [27]. However, liraglutide therapy had no effect on liver enzymes in our study population, but this was an observational study not designed to primarily observe the effect of GLP-1RA therapy on liver injury, and other confounding factors cannot be neglected such as concomitant OAD and statin therapy.
The most pronounced effect of liraglutide regarding prior antidiabetic therapy is reduction in the use of SU and increase in metformin/liraglutide combination alone. However, the majority of patients treated for 36 months needed therapy intensification either with basal insulin or SGLT-2i for successful maintenance of glycemic control and body weight. Quite surprisingly, in those patients treated for 36 months regardless of therapy intensification, the decrease in HbA1c and body weight was more pronounced than in patients treated for 6 months.
Anzeige
Although glycemic control and extraglycemic effects of GLP-1RA are impressive, one of the major problems is how to differentiate responders from non-responders, and how to predict which group of individuals will successfully respond to liraglutide therapy [28].
Present studies have reported that a short history of diabetes, baseline HbA1c level, insulin therapy, and high fasting serum c-peptide at the treatment initiation may predict response to GLP-1RA in terms of reducing blood glucose levels [20, 29‐32]. The aforementioned corresponds to our findings where baseline HbA1c is the strongest predictor of successful response after a period of 6 months. It is interesting to note that prior insulin therapy was associated with liraglutide effectiveness in reducing HbA1c which is actually quite the opposite of recent findings. Again, our patient population was quite specific because of Croatian reimbursement policies where GLP-1RA cannot be used as a second-line treatment, but only a third-line treatment option [22]. Insulin therapy in most cases represents basal insulin in combination with other OADs and this effect is probably mediated by the ability of basal insulin to “rest” the insulin-producing beta cells and thereby enable some recovery of the endogenous prandial insulin response [33]. Furthermore, initial BMI, baseline HbA1c, systolic BP, and initial cholesterol were independent predictors of maintaining significant HbA1c reduction after 36 months of therapy. Those baseline characteristics which are all components of metabolic syndrome have not been mentioned as potential predictors in the literature so far and this could only support the hypothesis that patients with greater body weight and associated metabolic syndrome benefit most from liraglutide therapy. Moreover, those with shorter duration of diabetes had two and half times greater chance of reaching target HbA1c after 6 months which is in agreement with previous reports [20, 23]. The probability of reaching target HbA1c ≤ 7% was significantly higher in female participants. Interestingly, an impact of female gender on liraglutide glycemic effectiveness was also noted by Lecube et al. and during the INITIATOR study even after adjustment for age, BMI, and duration of diabetes [34, 35]. Such gender-related differences if similar to animal models could possibly be related to differences in regulation of insulin receptors in satiety centers [36]. Finally, real-world evidence for long-term effectiveness of other GLP-1RAs shows that the mentioned therapy is safe and well tolerated, but when comparison analyses are performed liraglutide is associated with greater reductions in HbA1c and systolic blood pressure than other once daily GLP-1RAs [37, 38].
The main limitation of this study is its non-interventional observational design and availability of only routine data from everyday clinical practice. Since data were collected from registries it is possible that some clinical events as well as clinical data were omitted which could influence the interpretation of the performed analysis.
However, this study has significant strengths such as sample size, duration of follow-up, availability of large amounts of clinical information, and very few exclusion criteria (mainly those regarding health policy limitations), making this study analysis applicable to a wide range of diabetes subjects.
Anzeige
Conclusion
The glycemic and extra-glycemic effects of liraglutide are maintained for up to 3 years regardless of therapy intensification. A high percentage of patients, almost half, managed to achieve HbA1c below 7%, while the majority managed to lose 5–7 kg on average. Baseline HbA1c is the strongest predictor of successful response after a period of 6 months followed by prior insulin therapy, shorter duration of diabetes (less than 10 years), and female gender. Initial BMI, baseline HbA1c, systolic BP, and initial cholesterol are independent predictors of maintaining significant HbA1c reduction after 36 months of therapy. Prior SU therapy does not adversely affect liraglutide efficacy. These data refer to a specific population of patients with BMI over 35 kg/m2 who received liraglutide after failure of two and more agents and therefore differ somewhat from studies published so far which could be helpful in rational clinical decision-making and cost-effective prescribing of liraglutide.
Acknowledgements
The authors acknowledge the support from Radenka Munjas Samarin, PhD in statistical analyses funded by Novo Nordisk. Funding for the study and publication charges was provided by the authors. All authors had full access to all of the data in this study and take complete responsibility for the integrity of the data and accuracy of the data analysis. All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this manuscript, take responsibility for the integrity of the work as a whole, and have given final approval for the version to be published.
Disclosures
Maja Cigrovski Berkovic, Ines Bilic-Curcic, Davorka Herman Mahecic, Marina Gradiser, Mladen Grgurevic, and Tomislav Bozek have nothing to disclose.
Compliance with Ethics Guidelines
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964, as revised in 2013. Informed consent was obtained from all patients for being included in the study. Additional informed consent was obtained from all patients for which identifying information is included in this article.
Open Access
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0), which permits use, duplication, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Long-Term Effectiveness of Liraglutide in Association with Patients’ Baseline Characteristics in Real-Life Setting in Croatia: An Observational, Retrospective, Multicenter Study
verfasst von
Maja Cigrovski Berkovic Ines Bilic-Curcic Davorka Herman Mahecic Marina Gradiser Mladen Grgurevic Tomislav Bozek
