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Erschienen in: Diabetology & Metabolic Syndrome 1/2018

Open Access 01.12.2018 | Research

Clinical inertia on insulin treatment intensification in type 2 diabetes mellitus patients of a tertiary public diabetes center with limited pharmacologic armamentarium from an upper-middle income country

verfasst von: Marcelo Alves Alvarenga, William Ricardo Komatsu, Joao Roberto de Sa, Antonio Roberto Chacra, Sergio Atala Dib

Erschienen in: Diabetology & Metabolic Syndrome | Ausgabe 1/2018

Abstract

Background

Clinical inertia is related to the difficulty of achieving and maintaining optimal glycemic control. It has been extensively studied the delay of the period to insulin introduction in type 2 diabetes mellitus (T2DM) patients. This study aims to evaluate clinical inertia of insulin treatment intensification in a group of T2DM patients followed at a tertiary public Diabetes Center with limited pharmacologic armamentarium (Metformin, Sulphonylurea and Human Insulin).

Methods

This is a real life retrospective record based study with T2DM patients. Demographic, clinical and laboratory characteristics were reviewed. Clinical inertia was considered when the patients did not achieve the individualized glycemic goals and there were no changes on insulin daily dose in the period.

Results

We studied 323 T2DM patients on insulin therapy (plus Metformin and or Sulphonylurea) for a period of 2 years. The insulin daily dose did not change in the period and the glycated hemoglobin (A1c) ranged from 8.8 + 1.8% to 8.7 ± 1.7% (basal vs 1st year; ns) and to 8.5 ± 1.8% (basal vs 2nd year; p = 0.035). The clinical inertia prevalence was 65.8% (basal), 61.9% (after 1 year) and 58.2% (after 2 years; basal vs 1st year vs 2nd year; ns). In a subgroup of 100 patients, we also studied the first 2 years after insulin introduction. The insulin daily dose ranged from 0.22 ± 0.12 to 0.32 ± 0.24 IU/kg of body weight/day (basal vs 1st year; p < 0.001) and to 0.39 ± 0.26 IU/kg of body weight/day (basal vs 2nd year; p < 0.05). The A1c ranged from 9.6 + 2.1% to 8.6 + 2% (basal vs 1st year; p < 0.001) and to 8.7 + 1.7% (1st year vs 2nd year; ns). The clinical inertia prevalence was 78.5% (at the moment of insulin therapy introduction), 56.2% (after 1 year; p = 0.001) and 62.2% (after 2 years; ns).

Conclusion

Clinical inertia prevalence ranged from 56.2 to 78.5% at different moments of the insulin therapy (first 2 years and long term) of T2DM patients followed at a tertiary public Diabetes Center from an upper-middle income country with limited pharmacologic armamentarium.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s13098-018-0382-x) contains supplementary material, which is available to authorized users.
Abkürzungen
AACE
American Association of Clinical Endocrinologists
ACE
American College of Endocrinology
ADA
American Diabetes Association
AHT
anti hyperglycemic therapy
A1C
glycated hemoglobin
BMI
body mass index
CIs
95% confidence intervals
DPP-IV inhibitors
dipeptidyl peptidase IV inhibitors
DM
diabetes mellitus
EASD
European Association for the Study of Diabetes
GEE
Generalized Estimating Equations
GLP-1 analogues
glucose like peptide 1 analogues
HDL
high-density lipoprotein cholesterol
HPLC
high-performance liquid Chromatography
IDF
International Diabetes Federation
IU
International Units
kg
kilogram
LADA
Latent Autoimmune Diabetes of the Adult
LDL
low-density lipoprotein cholesterol
m2
square meters
MET
Metformin
mg/dL
milligram per deciliter
mmol/L
millimoles per liter
MODY
maturity-onset diabetes of the young
n
number
ns
not statistically significant
nv
normal value
OAD
oral antidiabetes drugs
OR
odds ratio
P
probability
SD
standard deviation
SGLT2 Inhibitors
sodium-glucose co-transporter 2 inhibitors
SU
sulphonylurea
SUS
Sistema Único de Saúde (Unified Health System)
TC
total cholesterol
TG
triglycerides
T1DM
type 1 diabetes mellitus
T2DM
type 2 diabetes mellitus
UKPDS
United Kingdom Prospective Diabetes Study
Yr
year

Background

There are significant evidences that hyperglycemia is associated to both microvascular and macrovascular complications and it is one of the risk factors on the clinical course of cardiovascular diseases [1, 2]. Nevertheless, uncontrolled glycemia is a global problem and most of type 2 diabetes mellitus (T2DM) patients often do not reach recommended glycemic targets in daily clinical practice [36, 27, 39, 40].
Diabetes guidelines typically advocate a target glycated hemoglobin (A1c) value of 6.5 or 7.0% but highlight that glycemic management must be individualized (individually adjusted A1c), considering a less stringent goal (A1c between 7 and 8%) for the patients with severe hypoglycemia risk, elderly, limited life expectancy or extensive comorbid conditions [710].
Insulin should be considered for patients with T2DM when noninsulin antihyperglycemic therapy fails to achieve target glycemic control or when a patient has symptomatic hyperglycemia [12, 13]. While the difficulty of maintaining the desired A1c level over time is related to both lifestyle and type of prescribed medication, it derives primarily from the progressive decline in beta cell function, with the need of insulin as the natural result of this temporal process [8, 9, 11, 34].
Another important aspect related to the difficulty of achieving and maintaining optimal glycemic control is the clinical inertia, defined as the failure to initiate or intensify therapy when indicated [1416, 3134]. It also may apply to the failure of physicians to stop or reduce therapy no longer needed [37]. Clinical inertia for insulin introduction has been extensively studied in T2DM patients [1416, 2628, 3136]. It is well documented in Western countries, however similar data in low-middle income countries are lacking [5153], specifically in the real world public healthcare system context where there are restrictions on antihyperglycemic therapy availability.
Therefore, the objective of this study was to evaluate the clinical inertia of insulin treatment intensification in a group of T2DM patients followed at a tertiary public Diabetes Center with limited pharmacologic armamentarium.

Methods

Study design

This is a real life retrospective record based study conducted at Federal University of São Paulo, Diabetes Center, which is a tertiary, teaching and research center and it is part of the public healthcare system, the Brazilian Unified Health System (Sistema Único de Saúde, SUS). The total number of physicians/day is 9 (3 preceptors and 6 residents) that see 30 patients in 4 h. No private insurance is available. Metformin, Sulphonylurea and Human Insulin (NPH Insulin and Regular) are provided free of charge.
We reviewed 996 charts of T2DM patients on insulin use, with or without oral antihyperglycemic therapy. Type 1 diabetes mellitus (T1DM), Latent Autoimmune Diabetes of the Adult (LADA), Monogenic Diabetes or other specific types of diabetes mellitus (DM) were exclusion criteria. Only the patients who had at least 1 visit to doctor per year (3 visits in 2 years period) were considered for the study (inclusion criteria). We excluded the patients with irregular medical appointments (less than 1 visit per year) or incomplete charts (absence of clinical or laboratory data), lasting 323 T2DM patients (32.4% of the initial sample of potential patients) on insulin therapy, eligible for the study (Fig. 1).
The study population had their demographic, clinical and laboratory characteristics reviewed, focusing on individually glycemic goals, insulin therapy (initiation, intensification, dose adjustment, weight gain and hypoglycemia), renal function, lipid profile and lipid therapy.
We called Group 1 the total studied population (T2DM patients on insulin therapy followed at UNIFESP Diabetes Center, independently if the insulin therapy was initiated at UNIFESP or the patient has been referred already on insulin using) and Group 2 is a subgroup of Group 1, whose insulin therapy was initiated at UNIFESP Diabetes Center. For the evaluation of clinical inertia during insulin treatment intensification in T2DM, we studied the last of 2 years of insulin therapy in Group 1 (323 patients) and the first 2 years after insulin therapy introduction in Group 2 (100 patients).

Follow-up variables studied

The following demographic and clinical data were studied: gender, age, duration of clinical diabetes, criteria for insulin therapy introduction, time between diabetes diagnosis and onset of insulin treatment, body-mass index [BMI (kg/m2)], prevalence of chronic diabetes complications and severe hypoglycemia, number of medical visits per year, prevalence of self-blood glucose monitoring, oral anti-hyperglycemic therapy, insulin therapy [type of insulin, daily dose (IU/kg/day), number and time of daily injections] and dyslipidemia therapy. The laboratory data evaluated were: Glycated Hemoglobin (A1c), using high-performance liquid chromatography (HPLC) method (nv: 4.0–5.6%); lipid profile (total cholesterol, LDL-cholesterol, HDL-cholesterol and triglycerides) and renal function (estimated creatinine clearance rate), using Cockcroft–Gault formula.
Chronic diabetes complications (neuropathy, nephropathy, retinopathy and macroangiopathy) were diagnosed in according to ADA (American Diabetes Association) criteria [10] and severe hypoglycemia was defined as glycemia < 45 mg/dL or the occurrence of stupor, seizure or unconsciousness, during which someone else’s help was required [46].
Clinical inertia during insulin intensification was considered when there was no therapy adjustment (no statistically significant differences on insulin daily dose within 1 year interval period) [26, 27, 38, 40] in the patients out of the A1c targets (A1c < 8% for the patients with advanced diabetes complications or 65 years old or more and A1c < 7% for the others) [710].

Statistical analysis

Statistical analysis was performed with the Statistic Package for Social Sciences (SPSS, Inc. Chicago II, USA) version 20.0 for Windows and Minitab 17.
Data were expressed as mean + SD values, median, maximum and minimum levels (quantitative data) and absolute or relative frequency (qualitative data). The significance level was set at p < 0.05 with a 95% confidence interval.
Generalized Estimating Equations (GEE) with normal, Poisson and binomial distribution for the longitudinal data analysis and Bonferroni’s Multiple Comparisons to compare groups were performed. Simple and Multiple Logistic Regression analysis were performed to evaluate the variables associated with achieving glycemic goals (individually adjusted A1c).
Chi Square test for association was performed to analyze and to compare the whole cohort A1c mean and the A1c subgroups (the percentage of patients in each A1c interval: < 7%, 7–8%, 8–9%, 9–10% and > 10%) for both Group 1 and Group 2. The significance level was set at p < 0.05 with a 95% confidence interval.

Results

The Group 1 (whose clinical inertia during a period of 2 years of insulin therapy was studied) had 60.7% females, age of 65.8 ± 10 years, clinical diabetes duration of 18.6 ± 7.5 years and 10.6 ± 6.6 years of insulin therapy. The prevalence of diabetes chronic complications was: retinopathy 44%, nephropathy 63.1%, neuropathy 42.1% and macroangiopathy 43%. Systemic arterial hypertension and dyslipidemia were respectively presented in 96.0% and 88.2% patients. The most common insulin regimen was NPH insulin alone (41.8%) followed by basal-bolus (NPH plus Regular insulin) (39.3%). The most frequency of daily insulin injections were three times a day in 33.4% (before breakfast, before lunch and bedtime) and twice a day in 30.3% (before breakfast and bedtime). The most frequent oral anti-hyperglycemic therapy associated to insulin was Metformin (MET) (38.4%), followed by the association of MET + sulphonylurea (SU) (16.1%) and 24.1% of the patients did not use anti-hyperglycemic therapy, but only insulin. The total insulin daily dose ranged from 0.64 ± 0.4 to 0.67 ± 0.43 IU/kg of body weight/day in the first year and to 0.67 ± 0.41 IU/kg of body weight/day in the second year (basal vs. first and second year; ns) (Table 1).
Table 1
Clinical and laboratory evolution during the last 2 years of insulin therapy follow up (Group 1)
 
Age—years
Duration of diabetes—years
Duration of insulin use—years
     
Mean (sd)
65.8 (10)
18.6 (7.5)
10.6 (6.6)
     
Median (min.; max.)
66 (37; 96)
17 (4; 42)
10 (1; 29)
     
Variable
Basal
1 year after
2 years after
Comparisona
p
95% CI
Lower
Upper
Body-mass index, kg/m2
   
Basal—1 year after
0.148
− 0.67
0.07
 Mean (sd)
28.7 (5.1)
29.1 (5)
29.4 (5.2)
Basal—2 years after
0.002
− 0.90
− 0.16
    
1 year after–2 years after
0.386
− 0.59
0.13
Oral diabetes therapy
   
Basal—1 year after
0.876
− 2.00
6.00
 n/Total (%)
219/289 (75.8)
205/279 (73.5)
189/267 (70.8)
Basal—2 years after
0.029
0.00
9.00
    
1 year after—2 years after
0.342
− 1.00
7.00
Insulin daily dose, units/kg of body weight
 Mean (sd)
0.64 (0.4)
0.67 (0.43)
0.67 (0.41)
 
0.571
  
Glycated hemoglobin / A1c
   
Basal—1 year after
> 0.999
− 0.15
0.29
 Mean (sd)
8.8 (1.8)
8.7 (1.7)
8.5 (1.8)
Basal—2 years after
0.003
0.08
0.52
    
1 year after—2 years after
0.035
0.01
0.45
Diabetes controlled (adjusted A1c), %
   
Basal—1 year after
0.509
− 10.00
3.00
 n/Total (%)
108/316 (34.2)
118/310 (38.1)
128/306 (41.8)
Basal—2 years after
0.016
− 14.00
− 1.00
    
1 year after–2 years after
0.479
− 10.00
3.00
Total cholesterol, mg/dL
   
Basal—1 year after
> 0.999
− 3.55
7.82
 Mean (sd)
168.7 (44.2)
165.5 (43)
172.9 (43.5)
Basal—2 years after
0.101
− 10.95
0.66
    
1 year after–2 years after
0.008
− 13.11
− 1.45
LDL cholesterol, mg/dL
   
Basal—1 year after
> 0.999
− 3.41
6.34
 Mean (sd)
92.7 (36.5)
90.2 (34.8)
95.9 (37.3)
Basal—2 years after
0.117
− 9.28
0.69
    
1 year after–2 years after
0.017
− 10.74
− 0.78
HDL cholesterol, mg/dL
   
Basal—1 year after
0.026
− 2.60
− 0.12
 Mean (sd)
45.5 (12.1)
46.6 (12.8)
48.7 (14.6)
Basal—2 years after
< 0.001
− 4.80
− 2.27
    
1 year after–2 years after
< 0.001
− 3.44
− 0.90
Triglycerides, mg/dL
 Mean (sd)
155.6 (111.8)
145.1 (89.8)
144 (80)
 
0.157
  
GEE with normal distribution
aBonferroni’s multiple comparisons
When we studied the glucose self-monitoring daily frequency in our population, we observed that 34.9% of patients did not monitor domiciliary glycemia values to adjust insulin dose, 26.6% and 22.7% measured respectively, once or twice a day. Reviewing the frequency of medical visits, we observed that 53.1% of the patients had 2 or more visits per year.
The A1c ranged from 8.8 ± 1.8% to 8.7 ± 1.7% (ns) in the first year and to 8.5 ± 1.8% (p = 0.035) in the second year. We also analyzed A1c variation by subgroups (the percentage of patients in each A1c interval: < 7%, 7–8%, 8–9%, 9–10% and > 10%) and we did not find statistical differences (p = 0.257) among the groups in the studied periods (basal, first year and second year) (Additional file 1: Figure S1). The percentage of patients who achieved the A1c target was respectively 34.2%, 38.1% (basal vs. first year; ns) and 41.8% (first vs. second year; ns) (Fig. 2). Therefore, the clinical inertia was respectively 65.8%, 61.9% and 58.2% (basal vs. first year vs. second year; ns). Most patients were overweight, the BMI ranged from 28.7 ± 5.1 kg/m2 to 29.1 ± 5 kg/m2 (basal vs. first year; ns) and to 29.4 + 5.2 kg/m2 in the second year (first vs. second year; ns) and the occurrence of severe hypoglycemia in the period was 3.1%. Reviewing the lipid profile, HDL cholesterol has increased (p < 0.001) and LDL cholesterol has decreased (p = 0.017) in the period and the number of patients with lipid therapy did not change (ns).
In a simple logistic regression analysis of the Group 1, we observed that the age, male gender and the presence of macroangiopathy, nephropathy or retinopathy were the main isolated variables associated with achieving glycemic goals (individually adjusted A1c). In a multiple logistic regression analysis, the age, male gender and the presence of retinopathy were associated with achieving A1c targets. Each 1-year of age has increased 4% in the chance of achieving glycemic goals (p = 0.004), male gender had 74% more chances of diabetes control (p = 0.040) and the presence of retinopathy had 65% more chances (p = 0.060) (Table 2).
Table 2
Logistic regression analysis—variables associated with achieving glycemic goals (individually adjusted A1c) during the last 2 years of insulin therapy follow up (Group 1)
Variable
Diabetes control
Total
ORCrude
95% CI
p
ORAdjusted
95% CI
p
No
Yes
Lower
Upper
Lower
Upper
Age, years
1.06
1.03
1.08
<0.001
1.04
1.01
1.07
0.004
 Mean (sd)
64 (9.9)
69 (9.4)
65.8 (10)
        
 Median (min.; max.)
65 (37; 96)
70 (38; 92)
66 (37; 96)
        
Gender, n (%)
        
 Female
134 (68.7)
61 (31.3)
195
1.00
   
1.00
   
 Male
72 (56.7)
55 (43.3)
127
1.68
1.06
2.67
0.029
1.74
1.03
2.94
0.040
Duration of diabetes, years
1.00
0.97
1.03
0.899
    
 Mean (sd)
18.6 (7.5)
18.7 (7.6)
18.6 (7.5)
        
 Median (min.; max.)
17 (4; 42)
17 (4; 41)
17 (4; 42)
        
Duration of insulin use, years
0.97
0.91
1.03
0.294
    
 Mean (sd)
11.1 (6.7)
9.7 (6.3)
10.6 (6.6)
        
 Median (min.; max.)
10 (1; 29)
9 (1; 29)
10 (1; 29)
        
Systemic arterial hypertension, n (%)
        
 No
8 (66.7)
4 (33.3)
12
1.00
       
 Yes
198 (64.1)
111 (35.9)
309
1.12
0.33
3.81
0.854
    
Dyslipidemia, n (%)
        
 No
22 (61.1)
14 (38.9)
36
1.00
       
 Yes
183 (64.2)
102 (35.8)
285
0.88
0.43
1.79
0.715
    
Neuropathy, n (%)
        
 No
168 (65.4)
89 (34.6)
257
1.00
       
 Yes
33 (58.9)
23 (41.1)
56
1.32
0.73
2.38
0.363
    
Nephropathy, n (%)
        
 No
175 (67.8)
83 (32.2)
258
1.00
       
 Yes
24 (46.2)
28 (53.8)
52
2.46
1.34
4.50
0.004
    
Retinopathy, n (%)
        
 No
119 (69.6)
52 (30.4)
171
1.00
   
1.00
   
 Yes
81 (57.4)
60 (42.6)
141
1.70
1.06
2.70
0.027
1.65
0.98
2.78
0.060
Macroangiopathy, n (%)
        
 No
124 (70.9)
51 (29.1)
175
1.00
       
 Yes
77 (55.8)
61 (44.2)
138
1.93
1.21
3.08
0.006
    
Insulin daily dose, units/kg of body weight
0.51
0.26
1.01
0.052
    
 Mean (sd)
0.68 (0.43)
0.58 (0.33)
0.65 (0.4)
        
 Median (min.; max.)
0.61 (0.11; 3.33)
0.5 (0.07; 1.48)
0.58 (0.07; 3.33)
        
Glucose self monitoring daily
        
 No
70 (64.2)
39 (35.8)
109
1.00
       
 Yes
123 (64.4)
68 (35.6)
191
0.99
0.61
1.62
0.975
    
Logistic regression
The Group 2 (whose clinical inertia during the first 2 years after insulin therapy introduction was also studied) had 56% females, age of 67.1 ± 10 years and clinical diabetes duration of 17.3 ± 6.3 years. The prevalence of diabetes chronic complications in this group was: retinopathy 8%, nephropathy 35%, neuropathy 20% and macroangiopathy 29%. Systemic arterial hypertension and dyslipidemia were respectively presented in 88% and 84% of the patients. The mean interval between DM diagnosis and the onset of insulin therapy in this subgroup was 10.7 + 6.4 years. The justification for initiating the insulin therapy was: the persistence of fasting blood glucose levels > 200 mg/dL (41%), A1c > 9% (35%), the presence of catabolism (17%) and any contraindicating factor to the oral agents (e.g. renal dysfunction). The insulin regime prescribed was basal insulin (NPH), 85% once a day (73% bed time and 12% before breakfast) and 15% twice a day (before breakfast and bedtime). By the time of insulin introduction, the most frequent oral anti-hyperglycemic therapy was the association of MET plus SU (59.6%). After insulin introduction, 63% of patients had no changing on oral anti-hyperglycemic therapy, 24% had SU withdrawal, 8% MET withdrawal and 2% both MET and SU withdrawal. The insulin daily dose ranged from 0.22 ± 0.12 to 0.32 ± 0.24 IU/kg of body weight/day (p < 0.001) in the first year and to 0.39 ± 0.26 IU/kg of body weight/day (p < 0.05) in the second year (Table 3). The A1c ranged from 9.6 ± 2.1% to 8.6 ± 2.0% (basal vs. first year; p < 0.001) and to 8.7 ± 1.7% in the second year (first vs. second year; ns). We also analyzed A1c variation by subgroups (the percentage of patients in each A1c interval: < 7%, 7–8%, 8–9%, 9–10% and > 10%) and we did not find statistical differences (p = 0.290) among the groups in the studied periods (first year and second year) (Additional file 2: Figure S2). The percentage of patients who achieved glycemic goals in this period was respectively 21.5%, 43.8% (p = 0.001) and 37.8% (ns). Therefore, the clinical inertia prevalence was 78.5% (at the moment of insulin therapy introduction), 56.2% (after 1 year; p = 0.001) and 62.2% (after 2 years; ns). The occurrence of severe hypoglycemia was 1% during the period. The BMI ranged from 28.4 ± 6.4 kg/m2 to 29.3 ± 5.5 kg/m2 (p = 0.070) in the first year and to 29 ± 5.3 kg/m2 in the second year (ns). Reviewing the lipid profile, both triglycerides (p = 0.023) and total cholesterol (p < 0.001) have improved in the first 2 years of insulin use and the number of patients with lipid therapy has increased (p = 0.05).
Table 3
Clinical and laboratory evolution during the first 2 years of insulin therapy follow up (Group 2)
 
Age—years
Duration of diabetes—years
Duration of insulin use—years
    
Mean (sd)
67.1 (10)
17.3 (6.3)
10.7 (6.4)
    
Median (min.; max.)
67 (37; 96)
16.5 (4; 33)
10 (1; 29)
    
Variable
Insulin introduction
1 year after insulin introduction
2 years after insulin introduction
Comparisona
p
95% CI
Lower
Upper
Body-mass index, kg/m2
   
Insulin introduction—1 year after
0.070
− 1.57
0.04
 Mean (sd)
28.4 (6.4)
29.3 (5.5)
29 (5.3)
Insulin introduction—2 years after
0.013
− 1.84
− 0.16
    
1 year after–2 years after
> 0.999
− 1.09
0.62
Oral diabetes therapy
   
Insulin introduction–1 year after
< 0.001
8.0
27.0
 n/Total (%)
98/99 (99)
72/87 (82.8)
67/82 (81.7)
Insulin introduction—2 years after
< 0.001
8.0
28.0
    
1 year after–2 years after
> 0.999
− 12.00
14.00
Insulin daily dose, units/kg of body weight
   
Insulin introduction—1 year after
< 0.001
− 0.16
− 0.04
 Mean (sd)
0.22 (0.12)
0.32 (0.24)
0.39 (0.26)
Insulin introduction—2 years after
< 0.001
− 0.23
− 0.10
    
1 year after–2 years after
0.051
− 0.13
0.00
Glycated hemoglobin/A1c, %
   
Insulin introduction—1 year after
< 0.001
0.46
1.54
 Mean (sd)
9.6 (2.1)
8.6 (2)
8.7 (1.7)
Insulin introduction—2 years after
< 0.001
0.39
1.49
    
1 year after–2 years after
> 0.999
− 0.61
0.48
Diabetes controlled (adjusted A1c)
   
Insulin introduction—1 year after
0.001
− 37.0
− 8.0
 n/total (%)
17/79 (21.5)
35/80 (43.8)
28/74 (37.8)
Insulin introduction—2 years after
0.017
− 31.0
− 2.0
    
1 year after–2 years after
> 0.999
− 10.00
21.00
Total cholesterol, mg/dL
   
Insulin introduction—1 year after
0.013
2.51
28.06
 Mean (sd)
201.7 (64.9)
188.1 (56.4)
180.6 (53.3)
Insulin introduction—2 years after
< 0.001
9.54
35.48
    
1 year after–2 years after
0.521
− 5.48
19.93
LDL cholesterol, mg/dL
 Mean (sd)
103.8 (40.8)
104.7 (43.7)
100.5 (42.5)
 
0.425
  
HDL cholesterol, mg/dL
       
 Mean (sd)
46.4 (13.3)
46 (13.5)
45.1 (11.4)
 
0.795
  
Triglycerides, mg/dL
   
Insulin introduction—1 year after
0.175
− 8.19
70.08
 Mean (sd)
201.8 (180.1)
174.4 (145.2)
160.9 (87.6)
Insulin introduction—2 years after
0.023
4.54
83.43
    
1 year after–2 years after
> 0.999
− 26.00
52.08
GEE with normal distribution
aBonferroni’s multiple comparisons
In a simple logistic regression analysis of the Group 2, we observed that the age, male gender and the presence of macroangiopathy were the main variables associated with achieving glycemic goals (individually adjusted A1c). In the multiple logistic regression analysis, only the age has influenced the diabetes control in this group. Each 1-year of age has increased 8% in the chance of achieving glycemic goals (p = 0.007) (Table 4).
Table 4
Logistic regression analysis—variables associated with achieving glycemic goals (individually adjusted A1c) during the first 2 years of insulin therapy follow up (Group 2)
Variable
Diabetes control
Total
ORCrude
95% CI
p
ORAdjusted
95% CI
p
No
Yes
Lower
Upper
Lower
Upper
Age, years
1.06
1.01
1.11
0.018
1.08
1.02
1.14
0.007
 Mean (sd)
64.6 (8.5)
69.8 (10.8)
67.1 (10)
        
 Median (min.; max.)
65.5 (37; 76)
72.5 (45; 96)
67 (37; 96)
        
Gender, n (%)
        
 Female
31 (64.6)
17 (35.4)
48
1.00
       
 Male
15 (37.5)
25 (62.5)
40
3.04
1.27
7.27
0.012
    
Duration of diabetes, years
0.99
0.93
1.06
0.788
    
 Mean (sd)
17.5 (6)
17.1 (6.6)
17.3 (6.3)
        
 Median (min.; max.)
17 (7; 30)
16 (4; 33)
16.5 (4; 33)
        
Duration of insulin use, years
0.99
0.93
1.06
0.825
    
 Mean (sd)
10.9 (6.4)
10.6 (6.5)
10.7 (6.4)
        
 Median (min.; max.)
10 (1; 24)
9 (2; 29)
10 (1; 29)
        
Systemic arterial hypertension, n (%)
        
 No
3 (60)
2 (40)
5
1.00
       
 Yes
41 (51.2)
39 (48.8)
80
1.43
0.23
9.00
0.705
    
Dyslipidemia, n (%)
        
 No
6 (75)
2 (25)
8
1.00
       
 Yes
38 (50.7)
37 (49.3)
75
2.92
0.55
15.41
0.206
    
Neuropathy, n (%)
        
 No
37 (52.9)
33 (47.1)
70
1.00
       
 Yes
3 (60)
2 (40)
5
0.75
0.12
4.75
0.758
    
Nephropathy, n (%)
        
 No
39 (60)
26 (40)
65
1.00
       
 Yes
0 (0)
8 (100)
8
#
  
#
    
Retinopathy, n (%)
        
 No
37 (54.4)
31 (45.6)
68
1.00
       
 Yes
4 (57.1)
3 (42.9)
7
0.90
0.19
4.31
0.890
    
Macroangiopathy, n (%)
        
 No
31 (60.8)
20 (39.2)
51
1.00
       
 Yes
9 (36)
16 (64)
25
2.76
1.02
7.43
0.045
    
Insulin daily dose, units/kg of body weight
0.79
0.02
36.22
0.904
    
 Mean (sd)
0.22 (0.12)
0.21 (0.1)
0.21 (0.11)
        
 Median (min.; max.)
0.17 (0.04; 0.54)
0.18 (0.06; 0.42)
0.18 (0.04; 0.54)
        
Logistic regression
# It’s not possible to estimate

Discussion

The prevalence of clinical inertia during insulin therapy in a group of T2DM followed at a tertiary public Diabetes Center with limited pharmacologic armamentarium was between 56.2 and 65.8%. The association of human insulin with MET was the most frequent therapy and the occurrence of severe hypoglycemia was 3.1%. The BMI remained stable and the HDL cholesterol has increased. The main factors positively associated with individualized A1c targets were the age, male gender and the presence of retinopathy.
In the subgroup of T2DM we reviewed the first 2 years after insulin therapy introduction, the clinical inertia prevalence was 78.5% (at the moment of insulin therapy introduction), 56.2% (after 1 year) and 62.2% (after 2 years). The occurrence of severe hypoglycemia was 1%, the BMI has been stable, and the lipid profile has improved in the period. The available pharmacologic armamentarium was the same as Group 1 and the association of NPH insulin (once a day) with MET plus SU was the most frequent therapy. The main factor positively associated with individualized A1c targets during the period was the patient age.
The clinical inertia prevalence in both studied groups were similar to the literature findings [27, 28, 34, 35, 41]. Clinical inertia happens in both specialists and non-specialists (primary care physicians) follow up [35, 38, 39] and about only one-third of eligible patients for insulin treatment intensification had it done [16, 26, 27, 35, 38, 39]. The increasing of the age, the duration of diabetes, the presence of multiple diabetes chronic complications and the use of oral anti-hyperglycemic multiple therapy are the most reasons associated with a significant delay in the time to intensification [16, 2730, 39, 40].
In our study, the patients had access only to MTF, SU and human insulin (NPH insulin and Regular) which are provided free of charge by the public healthcare system, the Brazilian Unified Health System (Sistema Único de Saúde, SUS). Insulin analogs and other antihyperglycemic therapies (GLP-1 analogues, DPP-IV inhibitors, Thiazolidinediones or SGLT2 Inhibitors) are not provided by the public healthcare system.
When we review insulin intensification studies [26, 27, 42, 51] and real-world basal insulin titration studies [4345, 51] in T2DM patients, it seems that clinical inertia persists overtime and a growing body of evidence shows that there is often a disconnection between the setting and the achievement of treatment targets. Even with the increasing availability of effective glucose-lowering therapies, there is a failure to achieve established targets in almost half of people with diabetes [41].
The prevalence of severe hypoglycemia in our population was similar to the results of UKPDS and ADVANCE studies [46].
Most of our studied patients were overweight and the BMI remained stable from 1 year to another, with statistical differences only in the total period, following what literature shows about insulin therapy and its positive correlation with gaining weight [47]. The lipid profile improvements in our study were also similar to the literature findings [4850].
It is kwon that intensification of pharmacotherapy requires glucose monitoring and medication adjustment at appropriate intervals when treatment goals are not achieved or maintained [12, 17, 18, 2729, 40]. Another important aspect for the insulin therapy optimization and intensification is health literacy, defined as the ability to obtain, read, understand and use healthcare information to make appropriate health decisions and to follow instructions for treatment [1923].
One of the limitations of our study is that we did not measure health literacy, health numeracy or patient adherence to medications [24, 25, 29, 30]. On the other hand, the strengths of our study were: (1) The glycemic goals were individualized in according to clinical conditions and comorbidities of the patient and (2) It was possible to perform the analysis of different moments of insulin therapy.
The discussion about clinical inertia and the difficulties of achieving the glycemic targets range from the causes related to the healthcare professionals [1416, 2628, 41], the disease [10, 34], the patients [1730] and the healthcare system [27, 28].

Conclusions

We can conclude that in a population of T2DM patients ongoing insulin therapy, followed at a tertiary public Diabetes Center from an upper-middle income country with limited pharmacologic armamentarium, the prevalence of clinical inertia ranged from 56.2 to 78.5% at different moments of the insulin therapy (first 2 years after the introduction and long term).

Authors’ contributions

MAA, ARC and SAD designed the study. MAA and WRK performed the statistical analyses. MAA, WRK, JRS, ARC and SAD were all involved in the interpretation of data, involved in drafting and revising critically the manuscript for important intellectual content. All authors read and approved the final manuscript.

Acknowledgements

The authors would like to thank all the professors, post-graduation students and multidisciplinary team of UNIFESP Diabetes Center, who dedicate themselves to patient care and education.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Not applicable.
The study was approved by “Comitê de Ética em Pesquisa da Universidade Federal de São Paulo/Hospital São Paulo—UNIFESP” and the Register Number is 1018/08. Consent to participate is not applicable because it is a retrospective study based on chart reviews.

Funding

The manuscript is part of Marcelo Alves Alvarenga, MD, CPXP Master of Science’s thesis in Clinic Endocrinology at Sao Paulo Federal University—UNIFESP and the resources for the patient’s treatment and follow up were provided by the Brazilian public healthcare system, the Unified Health System (SUSSistema Único de Saúde). The corresponding author’s did not receive any research funding.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted 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. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359:1577–89.CrossRefPubMed Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359:1577–89.CrossRefPubMed
2.
Zurück zum Zitat Hayward RA, Reaven PD, Wiitala WL, et al. Follow-up of glycemic control and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2015;372:2197–206.CrossRefPubMed Hayward RA, Reaven PD, Wiitala WL, et al. Follow-up of glycemic control and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2015;372:2197–206.CrossRefPubMed
3.
Zurück zum Zitat Mendes AB, Fittipaldi JA, Neves RC, Chacra AR, Moreira ED Jr. Prevalence and correlates of inadequate glycaemic control: results from a nationwide survey in 6,671 adults with diabetes in Brazil. Acta Diabetol. 2010;47:137–45.CrossRefPubMed Mendes AB, Fittipaldi JA, Neves RC, Chacra AR, Moreira ED Jr. Prevalence and correlates of inadequate glycaemic control: results from a nationwide survey in 6,671 adults with diabetes in Brazil. Acta Diabetol. 2010;47:137–45.CrossRefPubMed
4.
Zurück zum Zitat Gomes MB, Gianella D, Faria M, Tambascia M, Fonseca RM, Réa R, et al. Prevalence of Type 2 diabetic patients within the targets of care guidelines in daily clinical practice—a multi center study in Brazil. Rev Diabet Stud. 2006;3:82–7.CrossRefPubMed Gomes MB, Gianella D, Faria M, Tambascia M, Fonseca RM, Réa R, et al. Prevalence of Type 2 diabetic patients within the targets of care guidelines in daily clinical practice—a multi center study in Brazil. Rev Diabet Stud. 2006;3:82–7.CrossRefPubMed
5.
Zurück zum Zitat Brown JB, Nichols GA, Perry A. The burden of treatment failure in type 2 diabetes. Diabetes Care. 2004;27:1535–40.CrossRefPubMed Brown JB, Nichols GA, Perry A. The burden of treatment failure in type 2 diabetes. Diabetes Care. 2004;27:1535–40.CrossRefPubMed
6.
Zurück zum Zitat Valensi P, Benroubi M, Borzi V, Gumprecht J, Kawamori R, Shaban J, et al. The IMPROVE study—a multinational, observational study in type 2 diabetes: baseline characteristics from eight national cohorts. Int J Clin Pract. 2008;62:1809–19.CrossRefPubMed Valensi P, Benroubi M, Borzi V, Gumprecht J, Kawamori R, Shaban J, et al. The IMPROVE study—a multinational, observational study in type 2 diabetes: baseline characteristics from eight national cohorts. Int J Clin Pract. 2008;62:1809–19.CrossRefPubMed
7.
Zurück zum Zitat Teoh H, Home P, Leiter LA. Should A1C targets be individualized for all people with diabetes? Arguments for and against. Diabetes Care. 2011;34(Suppl 2):S191–6.CrossRefPubMedCentralPubMed Teoh H, Home P, Leiter LA. Should A1C targets be individualized for all people with diabetes? Arguments for and against. Diabetes Care. 2011;34(Suppl 2):S191–6.CrossRefPubMedCentralPubMed
10.
Zurück zum Zitat American Diabetes Association. Standards of medical care in diabetes—2014. Diabetes Care. 2014;37:S14–80.CrossRef American Diabetes Association. Standards of medical care in diabetes—2014. Diabetes Care. 2014;37:S14–80.CrossRef
11.
Zurück zum Zitat Turner RC, Cull CA, Frighi V, Holman RR, UK Prospective Diabetes Study (UKPDS) Group. Glycemic control with diet, sulfonylurea, metformin, or insulin in patients with type 2 diabetes mellitus: progressive requirement for multiple therapies (UKPDS 49). JAMA. 1999;281:2005–12.CrossRefPubMed Turner RC, Cull CA, Frighi V, Holman RR, UK Prospective Diabetes Study (UKPDS) Group. Glycemic control with diet, sulfonylurea, metformin, or insulin in patients with type 2 diabetes mellitus: progressive requirement for multiple therapies (UKPDS 49). JAMA. 1999;281:2005–12.CrossRefPubMed
13.
Zurück zum Zitat Garber A, Abrahamson M, Barzilay J, Blonde L, Bloomgarden Z, Bush M, Dagogo-Jack S, Davidson M, Einhorn D, Garvey W, Grunberger G. AACE comprehensive diabetes management algorithm 2013. Endocr Pract. 2013;19:2. Garber A, Abrahamson M, Barzilay J, Blonde L, Bloomgarden Z, Bush M, Dagogo-Jack S, Davidson M, Einhorn D, Garvey W, Grunberger G. AACE comprehensive diabetes management algorithm 2013. Endocr Pract. 2013;19:2.
14.
Zurück zum Zitat Lovshin JA, Zinman B. Diabetes: clinical inertia—a barrier to effective management of T2DM. Nat Rev Endocrinol. 2013;9(11):635–6.CrossRefPubMed Lovshin JA, Zinman B. Diabetes: clinical inertia—a barrier to effective management of T2DM. Nat Rev Endocrinol. 2013;9(11):635–6.CrossRefPubMed
15.
Zurück zum Zitat Van Bruggena R, Gortera K, Stolkb R, Klungelc O, Ruttena G. Clinical inertia in general practice: widespread and related to the outcome of diabetes care. Fam Pract. 2009;26:428–36.CrossRef Van Bruggena R, Gortera K, Stolkb R, Klungelc O, Ruttena G. Clinical inertia in general practice: widespread and related to the outcome of diabetes care. Fam Pract. 2009;26:428–36.CrossRef
16.
Zurück zum Zitat Khunti K, Wolden ML, Thorsted BL, Andersen M, Davies MJ. Clinical inertia in people with type 2 diabetes—a retrospective cohort study of more than 80,000 people. Diabetes Care. 2013;36(11):3411–7.CrossRefPubMedCentralPubMed Khunti K, Wolden ML, Thorsted BL, Andersen M, Davies MJ. Clinical inertia in people with type 2 diabetes—a retrospective cohort study of more than 80,000 people. Diabetes Care. 2013;36(11):3411–7.CrossRefPubMedCentralPubMed
17.
Zurück zum Zitat Pimazoni-Netto A, Rodbard D, Zanella MT. Rapid improvement of glycemic control in type 2 diabetes using weekly intensive multifactorial interventions: structured glucose monitoring, patient education and adjustment of therapy—a randomized controlled trial. Diabetes Technol Therapeut. 2011;13(10):997–1004.CrossRef Pimazoni-Netto A, Rodbard D, Zanella MT. Rapid improvement of glycemic control in type 2 diabetes using weekly intensive multifactorial interventions: structured glucose monitoring, patient education and adjustment of therapy—a randomized controlled trial. Diabetes Technol Therapeut. 2011;13(10):997–1004.CrossRef
18.
Zurück zum Zitat Polonsky WH, Wagner RS, et al. Structured self-monitoring of blood glucose significantly reduces A1C levels in poorly controlled, noninsulin-treated type 2 diabetes—results from the structured testing program study. Diabetes Care. 2011;34(2):262–7.CrossRefPubMedCentralPubMed Polonsky WH, Wagner RS, et al. Structured self-monitoring of blood glucose significantly reduces A1C levels in poorly controlled, noninsulin-treated type 2 diabetes—results from the structured testing program study. Diabetes Care. 2011;34(2):262–7.CrossRefPubMedCentralPubMed
19.
Zurück zum Zitat Roundtable on Health Literacy; Board on Population Health and Public Health Practice; Institute of Medicine (10 February 2012). Facilitating state health exchange communication through the use of health literate practices: workshop summary. National Academies Press. p. 1. Roundtable on Health Literacy; Board on Population Health and Public Health Practice; Institute of Medicine (10 February 2012). Facilitating state health exchange communication through the use of health literate practices: workshop summary. National Academies Press. p. 1.
20.
Zurück zum Zitat Schillinger D, Bindman AB, Piette J, Wang F, Osmond D, Daher C, Palacios J, Sullivan GD, Bindman AB. Association of health literacy with diabetes outcomes. JAMA. 2002;288(4):475–82.CrossRefPubMed Schillinger D, Bindman AB, Piette J, Wang F, Osmond D, Daher C, Palacios J, Sullivan GD, Bindman AB. Association of health literacy with diabetes outcomes. JAMA. 2002;288(4):475–82.CrossRefPubMed
21.
Zurück zum Zitat Cavanaugh KL. Health literacy in diabetes care: explanation, evidence and equipment. Diabetes Manag (Lond). 2011;1(2):191–9.CrossRef Cavanaugh KL. Health literacy in diabetes care: explanation, evidence and equipment. Diabetes Manag (Lond). 2011;1(2):191–9.CrossRef
22.
Zurück zum Zitat White RO, Wolff K, Cavanaugh KL, Rothman R. Addressing health literacy and numeracy to improve diabetes education and care. Diabetes Spectr. 2010;23(4):238–43.CrossRefPubMed White RO, Wolff K, Cavanaugh KL, Rothman R. Addressing health literacy and numeracy to improve diabetes education and care. Diabetes Spectr. 2010;23(4):238–43.CrossRefPubMed
23.
Zurück zum Zitat Kim S, Love F, Quistberg DA, Shea JA. Association of health literacy with self-management behavior in patients with diabetes. Diabetes Care. 2004;27(12):2980–2.CrossRefPubMed Kim S, Love F, Quistberg DA, Shea JA. Association of health literacy with self-management behavior in patients with diabetes. Diabetes Care. 2004;27(12):2980–2.CrossRefPubMed
24.
Zurück zum Zitat Asche C, LaFleur J, Conner C. A review of diabetes treatment adherence and the association with clinical and economic outcomes. ClinTher. 2011;33(1):74–109. Asche C, LaFleur J, Conner C. A review of diabetes treatment adherence and the association with clinical and economic outcomes. ClinTher. 2011;33(1):74–109.
25.
Zurück zum Zitat García-Pérez LE, Álvarez M, Dilla T, Gil-Guillén V, Orozco-Beltrán D. Adherence to therapies in patients with type 2 diabetes. Diabetes Therapy. 2013;4(2):175–94.CrossRefPubMedCentralPubMed García-Pérez LE, Álvarez M, Dilla T, Gil-Guillén V, Orozco-Beltrán D. Adherence to therapies in patients with type 2 diabetes. Diabetes Therapy. 2013;4(2):175–94.CrossRefPubMedCentralPubMed
26.
Zurück zum Zitat Khunti K, Nikolajsen A, Thorsted BL, Andersen M, Davies MJ, Paul SK. Clinical inertia with regard to intensifying therapy in people with type 2 diabetes treated with basal insulin. Diabetes Obes Metab. 2016;18:401–9.CrossRefPubMedCentralPubMed Khunti K, Nikolajsen A, Thorsted BL, Andersen M, Davies MJ, Paul SK. Clinical inertia with regard to intensifying therapy in people with type 2 diabetes treated with basal insulin. Diabetes Obes Metab. 2016;18:401–9.CrossRefPubMedCentralPubMed
28.
Zurück zum Zitat Carratala-Munuera MC, Artola-Menendez S, On behalf of the “Integrated Management of Type 2 diabetes mellitus” Research Group, et al. Barriers associated with poor control in Spanish diabetic patients. A consensus study. Int J Clin Pract. 2013;67(9):888–94.CrossRefPubMed Carratala-Munuera MC, Artola-Menendez S, On behalf of the “Integrated Management of Type 2 diabetes mellitus” Research Group, et al. Barriers associated with poor control in Spanish diabetic patients. A consensus study. Int J Clin Pract. 2013;67(9):888–94.CrossRefPubMed
29.
Zurück zum Zitat Grant R, Adams AS, Trinacty CM, et al. Relationship between patient medication adherence and subsequent clinical inertia in type 2 diabetes glycemic management. Diabetes Care. 2007;30:807–12.CrossRefPubMed Grant R, Adams AS, Trinacty CM, et al. Relationship between patient medication adherence and subsequent clinical inertia in type 2 diabetes glycemic management. Diabetes Care. 2007;30:807–12.CrossRefPubMed
30.
Zurück zum Zitat Miccoli R, Penno G, Del Prato S. Multi- drug treatment of type 2 diabetes: a challenge for compliance. Diabetes Care. 2011;34(Suppl. 2):S231–5.CrossRefPubMedCentralPubMed Miccoli R, Penno G, Del Prato S. Multi- drug treatment of type 2 diabetes: a challenge for compliance. Diabetes Care. 2011;34(Suppl. 2):S231–5.CrossRefPubMedCentralPubMed
31.
Zurück zum Zitat Byrnes PD. Why haven’t I changed that? Therapeutic inertia in general practice. Aust Fam Physician. 2011;40:24–8.PubMed Byrnes PD. Why haven’t I changed that? Therapeutic inertia in general practice. Aust Fam Physician. 2011;40:24–8.PubMed
32.
33.
Zurück zum Zitat Ziemer DC, Miller CD, Rhee MK, et al. Clinical inertia contributes to poor diabetes control in a primary care setting. Diabetes Educ. 2005;31:564–71.CrossRefPubMed Ziemer DC, Miller CD, Rhee MK, et al. Clinical inertia contributes to poor diabetes control in a primary care setting. Diabetes Educ. 2005;31:564–71.CrossRefPubMed
35.
Zurück zum Zitat Shah BR, Hux JE, Laupacis A, Zinman B, van Walraven C. Clinical inertia in response to inadequate glycemic control: do specialists differ from primary physicians? Diabetes Care. 2005;28:600–6.CrossRefPubMed Shah BR, Hux JE, Laupacis A, Zinman B, van Walraven C. Clinical inertia in response to inadequate glycemic control: do specialists differ from primary physicians? Diabetes Care. 2005;28:600–6.CrossRefPubMed
36.
Zurück zum Zitat Ratanawongsa N, Crosson JC, Schillinger D, Karter AJ, Saha CK, Marrero DG. Getting under the skin of clinical inertia in insulin initiation: the Translating Research into Action for Diabetes (TRIAD) Insulin Starts Project. Diabetes Educ. 2012;38(1):94–100.CrossRefPubMedCentralPubMed Ratanawongsa N, Crosson JC, Schillinger D, Karter AJ, Saha CK, Marrero DG. Getting under the skin of clinical inertia in insulin initiation: the Translating Research into Action for Diabetes (TRIAD) Insulin Starts Project. Diabetes Educ. 2012;38(1):94–100.CrossRefPubMedCentralPubMed
37.
Zurück zum Zitat Giugliano D, Esposito K. Clinical inertia as a clinical safeguard. JAMA. 2011;305(15):1591–2.CrossRefPubMed Giugliano D, Esposito K. Clinical inertia as a clinical safeguard. JAMA. 2011;305(15):1591–2.CrossRefPubMed
38.
Zurück zum Zitat Blak BT, Smith HT, Hards M, Curtis BH, Ivanyi T. Optimization of insulin therapy in patients with type 2 diabetes mellitus: beyond basal insulin. Diabet Med. 2012;29:e13–20.CrossRefPubMed Blak BT, Smith HT, Hards M, Curtis BH, Ivanyi T. Optimization of insulin therapy in patients with type 2 diabetes mellitus: beyond basal insulin. Diabet Med. 2012;29:e13–20.CrossRefPubMed
39.
Zurück zum Zitat Bailey CJ. Under-treatment of type 2 diabetes: causes and outcomes of clinical inertia. Int J Clin Pract. 2016;70:988–95.CrossRefPubMed Bailey CJ. Under-treatment of type 2 diabetes: causes and outcomes of clinical inertia. Int J Clin Pract. 2016;70:988–95.CrossRefPubMed
40.
Zurück zum Zitat O’Connor PJ, Sperl-Hillen JM, Johnson PE, Rush WA and Biltz G. Clinical inertia and outpatient medical errors. advances in patient safety: from research to implementation (Volume 2: Concepts and Methodology). Agency for Healthcare Research and Quality (US); 2005. O’Connor PJ, Sperl-Hillen JM, Johnson PE, Rush WA and Biltz G. Clinical inertia and outpatient medical errors. advances in patient safety: from research to implementation (Volume 2: Concepts and Methodology). Agency for Healthcare Research and Quality (US); 2005.
41.
Zurück zum Zitat Strain WD, Cos X, Hirst M, Vencio S, Mohan V, Vokó Z, Yabe D, Bluher M, Paldánius PM. Time to do more: addressing clinical inertia in the management of type 2 diabetes mellitus. Diabetes Res Clin Pract. 2014;105:302–12.CrossRefPubMed Strain WD, Cos X, Hirst M, Vencio S, Mohan V, Vokó Z, Yabe D, Bluher M, Paldánius PM. Time to do more: addressing clinical inertia in the management of type 2 diabetes mellitus. Diabetes Res Clin Pract. 2014;105:302–12.CrossRefPubMed
42.
Zurück zum Zitat Jones DR, Pouwer F, Khunti K. Identification of barriers to insulin therapy and approaches to overcoming them. Diabetes Obes Metab. 2018;20(3):488–96.CrossRef Jones DR, Pouwer F, Khunti K. Identification of barriers to insulin therapy and approaches to overcoming them. Diabetes Obes Metab. 2018;20(3):488–96.CrossRef
43.
Zurück zum Zitat Seufert J, Anderten H, Borck A, et al. Real-world titration of insulin glargine 100 U/mL in patients with type 2 diabetes poorly controlled on oral antidiabetic drugs. Diabetes. 2017;66(Suppl 1):A619. Seufert J, Anderten H, Borck A, et al. Real-world titration of insulin glargine 100 U/mL in patients with type 2 diabetes poorly controlled on oral antidiabetic drugs. Diabetes. 2017;66(Suppl 1):A619.
44.
Zurück zum Zitat Sehgal S, Khanolkar M. Starting insulin in type 2 diabetes: real-world outcomes after the first 12 months of insulin therapy in a New Zealand cohort. Diabetes Ther. 2015;6(1):49–60.CrossRefPubMedCentralPubMed Sehgal S, Khanolkar M. Starting insulin in type 2 diabetes: real-world outcomes after the first 12 months of insulin therapy in a New Zealand cohort. Diabetes Ther. 2015;6(1):49–60.CrossRefPubMedCentralPubMed
45.
Zurück zum Zitat Ji L, Zhang P, Zhu D, et al. Observational Registry of Basal Insulin Treatment (ORBIT) in patients with type 2 diabetes uncontrolled with oral antihyperglycemic drugs: real-life use of basal insulin in China. Diabetes Obes Metab. 2017;19(6):822–30.CrossRefPubMed Ji L, Zhang P, Zhu D, et al. Observational Registry of Basal Insulin Treatment (ORBIT) in patients with type 2 diabetes uncontrolled with oral antihyperglycemic drugs: real-life use of basal insulin in China. Diabetes Obes Metab. 2017;19(6):822–30.CrossRefPubMed
47.
Zurück zum Zitat Mäkimattila S, Nikkilä K, Yki-Järvinen H. Causes of weight gain during insulin therapy with and without metformin in patients with Type II diabetes mellitus. Diabetologia. 1999;42(4):406–12.CrossRefPubMed Mäkimattila S, Nikkilä K, Yki-Järvinen H. Causes of weight gain during insulin therapy with and without metformin in patients with Type II diabetes mellitus. Diabetologia. 1999;42(4):406–12.CrossRefPubMed
48.
Zurück zum Zitat Lalić NM, Micić D, Antić S, Bajović L, Pantelinac P, Jotić A, Kendereski A, Dimić D, Djukić A, Mitrović M, Vujasin M. Effect of biphasic insulin aspart on glucose and lipid control in patients with Type 2 diabetes mellitus. Expert Opin Pharmacother. 2007;8(17):2895–901.CrossRefPubMed Lalić NM, Micić D, Antić S, Bajović L, Pantelinac P, Jotić A, Kendereski A, Dimić D, Djukić A, Mitrović M, Vujasin M. Effect of biphasic insulin aspart on glucose and lipid control in patients with Type 2 diabetes mellitus. Expert Opin Pharmacother. 2007;8(17):2895–901.CrossRefPubMed
49.
Zurück zum Zitat Drexel H, Hopferwieser T, Braunsteiner H, Patsch JR. Effects of biosynthetic human proinsulin on plasma lipids in type 2 diabetes mellitus. Klin Wochenschr. 1988;66(23):1171–4.CrossRefPubMed Drexel H, Hopferwieser T, Braunsteiner H, Patsch JR. Effects of biosynthetic human proinsulin on plasma lipids in type 2 diabetes mellitus. Klin Wochenschr. 1988;66(23):1171–4.CrossRefPubMed
50.
Zurück zum Zitat Scoppola A, Testa G, Frontoni S, Maddaloni E, Gambardella S, Menzinger G, Lala A. Effects of insulin on cholesterol synthesis in type II diabetes patients. Diabetes Care. 1995;18(10):1362–9.CrossRefPubMed Scoppola A, Testa G, Frontoni S, Maddaloni E, Gambardella S, Menzinger G, Lala A. Effects of insulin on cholesterol synthesis in type II diabetes patients. Diabetes Care. 1995;18(10):1362–9.CrossRefPubMed
51.
Zurück zum Zitat Khunti K, Gomes MB, Pocock S, et al. Therapeutic inertia in the treatment of hyperglycaemia in patients with type 2 diabetes: a systematic review. Diabetes Obes Metab. 2018;20:427–37.CrossRefPubMed Khunti K, Gomes MB, Pocock S, et al. Therapeutic inertia in the treatment of hyperglycaemia in patients with type 2 diabetes: a systematic review. Diabetes Obes Metab. 2018;20:427–37.CrossRefPubMed
52.
Zurück zum Zitat Basu S, Garg S, Sharma N, Singh M, Garg S. Adherence to self-care practices, glycemic status and influencing factors in diabetes patients in a tertiary care hospital in Delhi. World J Diabetes. 2018;9(5):72–9.CrossRefPubMedCentralPubMed Basu S, Garg S, Sharma N, Singh M, Garg S. Adherence to self-care practices, glycemic status and influencing factors in diabetes patients in a tertiary care hospital in Delhi. World J Diabetes. 2018;9(5):72–9.CrossRefPubMedCentralPubMed
Metadaten
Titel
Clinical inertia on insulin treatment intensification in type 2 diabetes mellitus patients of a tertiary public diabetes center with limited pharmacologic armamentarium from an upper-middle income country
verfasst von
Marcelo Alves Alvarenga
William Ricardo Komatsu
Joao Roberto de Sa
Antonio Roberto Chacra
Sergio Atala Dib
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
Diabetology & Metabolic Syndrome / Ausgabe 1/2018
Elektronische ISSN: 1758-5996
DOI
https://doi.org/10.1186/s13098-018-0382-x

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