The aim of this study was to assess the total frequency of self-treated hypoglycemia in type 2 diabetes mellitus patients using regimens including basal insulin analogs, and to describe the psychological impact and behavioral response to these events from the perspective of patients and prescribers (i.e., hospital specialists and primary care physicians).
Methods
The global attitude of patients and physicians 2 (GAPP2) survey was an online multinational, cross-sectional survey of patients with type 2 diabetes mellitus treated with basal insulin analogs, with or without bolus insulin. Prescribers directly involved in the care of these patients were also surveyed. Here, we report the results of the second wave of the GAPP2 survey, in which the primary variable of interest was self-treated hypoglycemia.
Results
A total of 855 patients and 1003 prescribers, from 7 countries, completed the survey. Overall, 28% of patients had experienced self-treated hypoglycemia during the previous 30 days, with two-thirds of events occurring during the day and one-third of events occurring nocturnally. Prescribers reported discussing events with 55% of patients over this period. Patients worried about self-treated hypoglycemia in a range of situations, and prescribers under-estimated this worry. Many patients who had experienced self-treated hypoglycemia in the last 30 days reported missing (19%), mistiming (7%), or reducing (7%) their basal insulin dose as a result.
Conclusion
Self-treated hypoglycemia was relatively common in patients using basal insulin analogs, with or without bolus insulin. Whilst the frequency of hypoglycemia was greater during the daytime than at night, patients worried more about nocturnal events and this level of worry was under-estimated by physicians. Additional advice and support may be needed for both patients and prescribers, to reduce the frequency and impact of self-treated hypoglycemia.
The use of insulin to reduce blood glucose levels in type 2 diabetes mellitus (T2DM) is highly effective, but can be challenging (e.g., taking time to develop an appropriate regimen) and the risk of hypoglycemia remains an important consideration for both physicians and patients [1‐3].
Severe hypoglycemia, defined as an event requiring the assistance of another person to actively administer carbohydrates, glucagon, or take other corrective actions, is a key cause of morbidity in T2DM and an important barrier to optimal glycemic control [4]. Less severe hypoglycemic events that the individual can self-treat by consuming fast-acting carbohydrate, known as ‘self-treated’ or ‘minor’ hypoglycemic events, are not always recognized by the individual or their clinical team as being clinically significant. Data suggest that self-treated hypoglycemic events, whether they occur in the daytime or at night, have an impact on patient functioning, well-being and diabetes management [5‐7]. Of particular importance is the relationship between, often unnoticed, nocturnal hypoglycemia and poor health outcomes including adverse cardiovascular events [8]. Self-treated hypoglycemia also has substantial economic consequences for patients and their employers due to lost working hours and reduced productivity [7]. Recently, reported data from Denmark suggest that 9% of self-treated episodes lead to lost work time [9]. In the UK, self-treated hypoglycemia is estimated to cost the National Health Service £172.1 million per year [10]. Recent research in the USA found that non-severe episodes incur a cost of $11 per episode [11].
Anzeige
Research has also suggested that around one-third of patients are very worried about hypoglycemia, and a similar proportion maintain their blood glucose levels within a ‘safety margin’ at levels above recommended targets, in an attempt to reduce the risk of hypoglycemia [8]. Given the important effect of these events on both patient functioning and diabetes management, the prevalence and impact of self-treated hypoglycemic events among patients with T2DM requires additional study. For this reason, the Global Attitude of Patients and Physicians 2 (GAPP2) web-based survey was initiated. The first wave of the online survey was initially conducted among patients treated with basal or basal plus bolus insulin analogs and relevant prescribers (i.e., hospital specialists and primary care physicians) in six countries: Canada, Denmark, Germany, Japan, UK, and USA. One of the key aims of the first wave was to estimate the prevalence of self-treated hypoglycemia in patients and identify demographic, treatment-related and behavioral risk factors associated with these events. The key findings from the first wave of the survey have been published elsewhere [3, 6, 12, 13].
In wave two, reported here, the survey was extended to further countries in Europe, North and South America, Asia, Africa, and Australia. Similar to the first wave, the primary aim was to collect and assess data regarding self-treated hypoglycemia in users of basal insulin analogs, with or without bolus insulin, from both the patient and prescriber’s perspective.
Methods
Recruitment
All procedures conducted 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 included in the survey. Data were collected between September 2012 and January 2013. In total, 11 countries were included in the second wave of the survey. This manuscript focuses on pooled data from seven countries: Argentina, Australia, India, Israel, Mexico, Russia, and South Africa. Data from these countries were pooled as they belonged to the region of international operations of the study sponsor.
Patient participants were recruited from online general population research panels, using recruitment techniques representative of the local online community including banner advertisements, e-mail campaigns, blogs, social media, TV/print and SMS campaigns. Patient eligibility criteria required being diagnosed with T2DM over the age of 40 years and being on a long-acting basal insulin analog alone, or on long-acting basal and short-acting bolus insulin analogs taken separately. To maintain consistency and enable comparison with the results from the first wave of the GAPP2 survey, patients on bolus only, premix insulin or using insulin pumps were excluded [3, 6, 12, 13].
Anzeige
Prescribers were recruited from pre-existing online healthcare professional research panels and were initially targeted by specialty (i.e., primary care, specialist, or other). They were then screened to ensure that they treated a minimum number of patients with diabetes in a typical month. Criteria varied by country, but typically 20 patients per month for general practitioners (GPs) and 40 patients per month for hospital specialists were sufficient for inclusion.
Survey
The survey materials have previously been described in greater detail in the first wave of the GAPP2 survey [3, 6, 12, 13]. Survey items were generated from multiple data sources: an international steering committee of diabetes clinical experts, relevant current literature, and from key concepts and themes from the transcripts of nine previously conducted focus groups and interviews with patients with diabetes. Questionnaires for both patients (90 items) and physicians (58 items) were structured in the same way to facilitate between-group comparisons. Items covered demographics and background information, diabetes management, self-treated hypoglycemia and patient functioning and well-being. Self-treated hypoglycemic events (i.e., ‘hypos’) were defined as symptoms of low blood sugar (i.e., sweating, weakness, trembling or difficulty concentrating) that patients could treat by themselves by drinking a glass of juice, eating, or taking a sugar pill. Patients were specifically asked about the characteristics, incidence and impact of such events, with physicians being asked to answer all questions by thinking about their own patients who were prescribed basal insulin analogs, with or without bolus insulin.
To minimize any recall bias on patient responses, participants were asked to only report events that occurred during the 30 days prior to completion of the survey. Participants were offered an “I don’t know” answer where applicable to avoid forcing inaccurate responses, and all data were logic-tested to ensure that participants did not provide contradictory answers. Data identified electronically as being incomplete were collected but not processed or included in the analyses.
Statistical Analysis
Statistical analysis was conducted using statistical analysis software SAS (SAS Institute Inc., Cary, NC, USA). To describe the patient and prescriber population, the data were descriptively analyzed using frequencies and mean values. Paired t tests were used to show the actual differences between groups where applicable. Pearson’s Chi squared test was used for non-parametric data. Outliers were identified by taking a range from either the mean or median score, depending on the question type. Where notable numbers of outliers were seen to be affecting the results for a given question, the question was assessed subjectively and responses outside the statistically acceptable range deemed not plausible in the context of the question were removed.
Results
Participants
A total of 509,692 participants were invited to participate in the survey and 2271 prescribers and 15,180 patients responded. Of these, 855 patients and 1003 prescribers were eligible for and completed the survey (Fig. 1). The mean age of the patient sample was 57.1 years, with a mean diabetes duration of 8.2 years. The prescriber sample treated a mean of 127.7 patients aged >40 years per month. Table 1 summarizes the full characteristics of the sample.
Fig. 1
Patient and prescriber survey recruitment flow diagram. HCP healthcare professional
Table 1
Patient and prescriber demographics
Demographics
Total sample
Argentina
Mexico
India
Australia
Israel
Russia
South Africa
Patients
Base, n
855
92
150
175
112
76
175
75
Mean age in years (range)
57.1 (41–91)
57.1 (42–86)
56.5 (41–91)
51.2 (43–80)
61.8 (43–82)
61.5 (41–84)
59.6 (42–82)
54.7 (43–71)
Male, %
50
58
45
63
54
59
34
40
Duration of diabetes in years (range)
8.2 (<1–40)
8.6 (<1–35)
9.3 (<1–40)
5.5 (<1–20)
10.9 (1–30)
11.1 (<1–30)
7.6 (1–40)
5.5 (1–20)
BMI, kg/m2 (%)
<27
32
38
61
31
12
37
17
29
27–33
41
41
29
37
40
42
62
23
33–39
15
16
8
15
25
12
19
4
>39
12
4
2
16
23
9
3
44
Number of diabetes complications from 13 listed* (range)
2.8 (0–13)
2.7 (0–13)
2.9 (0–9)
2.0 (0–8)
2.4 (0–8)
3.2 (0–8)
3.7 (0–10)
2.8 (0–7)
Mean duration of insulin therapy, years (range)
3.9 (<1–30)
4.6 (<1–30)
3.9 (<1–20)
2.3 (<1–20)
4.3 (<1–30)
5.6 (<1–20)
4.5 (<1–30)
3.5 (<1–8)
Insulin regimen
Basal only, n (%)
592 (69%)
64 (70%)
138 (92%)
142 (81%)
58 (52%)
51 (67%)
74 (42%)
65 (87%)
Basal–bolus, n (%)
263 (31%)
28 (30%)
12 (8%)
33 (19%)
54 (48%)
25 (33%)
101 (58%)
10 (13%)
Mean number of basal insulin injections per day
1.6
1.7
1.6
1.4
1.2
1.7
1.6
2.0
Injection device for basal insulin (%)
Prefilled pens
39
70
5
2
86
55
55
35
A vial and syringe
54
28
93
95
9
8
47
44
Refillable pens
20
10
3
7
9
37
50
28
Education (%)
Some high school
11
11
19
4
20
17
3
11
High school graduate
10
13
21
6
8
14
2
5
Some college (no degree)
15
13
9
5
21
12
30
17
College (degree)
44
53
43
23
44
49
54
56
Masters/Ph.D./Post Doctorate
22
15
21
54
10
16
11
11
Rather not say
2
0
0
8
0
0
0
0
Working
53
64
59
70
27
39
49
55
Not living with a wife/husband/partner
26
20
31
12
43
22
29
25
Perceived diabetes control (%)
Poor
7
7
10
1
10
9
9
3
Moderate
51
30
53
55
54
61
53
45
Good
42
63
37
43
37
30
38
52
Prescribers
Base, n
1003
166
164
200
146
83
144
100
Mean time since qualified, years
13.9
13.5
13.2
11.2
16.5
17.3
11.1
18.8
Specialty
Specialist, n (%)
531 (53%)
91 (55%)
75 (46%)
119 (60%)
72 (49%)
47 (57%)
110 (76%)
17 (17%)
Primary care, n (%)
268 (27%)
23 (14%)
79 (48%)
0 (0%)
74 (51%)
32 (39%)
0 (0%)
60 (60%)
Other, n (%)
204 (20%)
52 (31%)
10 (6%)
81 (41%)
0 (0%)
4 (5%)
34 (24%)
23 (23%)
Mean number of insulin-treated patients with T2DM aged 40+ seen per month
127.7
71.6
94.5
267.8
79.5
127.3
140.3
47.8
Mean percentage of insulin-treated patients with T2DM using analog insulin
64.5
58.3
59.6
59.9
73.9
89.3
53.9
73.3
BMI body mass index, T2DM Type 2 diabetes mellitus
* Selected from a group of 13 potential complications offered within the survey: amputation, anxiety, cataracts or eyesight damage, depression, foot ulcers, glaucoma, high cholesterol, hypertension, impotence or reduced sexual functioning, nerve damage, reduced kidney function, sleeping problems, stroke
×
Total Frequency of Self-Treated Hypoglycemia
For the sample as a whole, 28% of respondents reported that their last event was during the last 30 days and the mean number of events per patient was 3.8 per month. For daytime self-treated hypos, the mean number of events per patient was 2.6 per month. For nocturnal self-treated hypos, the mean number of events per patient was 1.3 per month (Table 2).
Table 2
Frequency of self-treated hypoglycemia among patients in the last 30 days
Total sample
Argentina
Mexico
India
Australia
Israel
Russia
South Africa
Effective base (n)
776
86
143
145
108
68
163
63
% of patients with at least one event (n)
28% (217)
31% (27)
47% (67)
14% (21)
33% (36)
29% (20)
25% (40)
10% (6)
All self-treated hypoglycemia*
Mean number of events per patient (range)
3.8 (1–25)
5.0 (1–15)
3.3 (1–10)
4.5 (1–12)
3.2 (1–20
3.1 (1–20)
4.1 (1–25)
6.8 (1–23)
% of patients with 5 + events (n)
25% (55)
52% (14)
22% (15)
29% (6)
17% (6)
20% (4)
18% (7)
50% (3)
Daytime self-treated hypoglycemia*
Mean number of events per patient (range)
2.6 (0–25)
2.9 (0–10)
2.0 (0–8)
2.5 (0–6)
2.8 (0–20)
2.0 (0–10)
3.0 (0–25)
5.5 (1–20)
% of patients with 5 + events (n)
13% (29)
26% (7)
9% (6)
5% (1)
14% (5)
20% (4)
13% (5)
17% (1)
Nocturnal self-treated hypoglycemia*
Mean number of events per patient (range)
1.3 (0–10)
2.1 (0–7)
1.3 (0–5)
2.0 (1–8)
0.4 (0–3)
1.1 (0–10)
1.1 (0–6)
1.3 (0–3)
% of patients with 5+ events (n)
6% (12)
19% (5)
3% (2)
14% (3)
0% (0)
5% (1)
3% (1)
0% (0)
* Among patients who had experienced at least one episode of self-treated hypoglycemia (daytime or nocturnal) in the last 30 days
Discussion of Self-Treated Hypoglycemia
Totals of 59% and 42% of all respondents reported that self-treated hypos were typically discussed during consultations with specialists and GPs, respectively. Prescribers reported that they had only discussed or reviewed minor hypos with 55% of the patients that they had seen in the past 30 days. When prescribers were asked to describe how often they discussed minor hypos with these patients, only 57% said they ‘always’ or ‘most of the time’ discussed with patients on basal only insulin and 69% said they ‘always’ or ‘most of the time’ discussed with patients on basal–bolus insulin (Fig. 2).
Fig. 2
Frequency with which prescribers discuss minor hypoglycemia with their patients
×
Prescribers were asked why they chose not to discuss minor hypos with some of these patients. With basal only patients, the most commonly cited reasons were: patients are already well educated about minor hypos (72%); patients do not report minor hypos (44%); and a lack of time during consultation (29%). When asked about basal–bolus patients, the same three responses were reported (67%, 34%, and 31%, respectively). Prescribers also estimated that about one-quarter of their patients under-reported the frequency (31%) or severity (24%) of minor hypos they had experienced.
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Impact of Self-Treated Hypoglycemia
Patients were asked how long it took to perceive that they had regained normal physical and mental functioning after a self-treated hypo. The time to recover physical and mental functioning was believed by 32% and 45% of patients, respectively, to be longer than 1 h. For prescribers, 25% reported that they believed it took their patients longer than 1 h to recover normal physical functioning and 43% reported they believed it took their patients longer than 1 h to regain mental functioning. Areas of functioning that patients felt were particularly affected by self-treated hypos were ‘performance at work’, ‘ability to focus and concentrate,’ and ‘taking part in sport and exercise’ (47%, 45%, and 45% of patients, respectively, reporting a ‘significant’ or ‘somewhat’ negative impact).
Levels of Worry About Self-Treated Hypoglycemia
Patients worried about self-treated hypos in a wide variety of circumstances: more than two-thirds of patients admitted to being ‘very’ or ‘somewhat’ worried about events during each of the following daily situations: ‘somewhere where there is no easy access to food or drink’ (75% of patients), ‘when driving’ (70%), ‘while sleeping’ (68%), ‘when alone at home’ (68%), and ‘while caring for children/grandchildren’ (68%). Patients also stated that they were more likely to worry about nocturnal self-treated hypos than daytime events: 68% versus 57%, respectively, reported they were ‘very’ or ‘somewhat worried’.
Prescribers appeared to underestimate this worry; for each of the five daily scenarios described above, fewer than 30% of prescribers felt that their patients worried about minor hypos: ‘while sleeping’ (29%), ‘when alone at home’ (19%), ‘when driving’ (19%), ‘somewhere where there is no easy access to food or drink’ (18%), and ‘while caring for children/grandchildren’ (12%).
When prescribers were asked to state the situation in which they felt their patients worried the most about minor hypos, the most common response was ‘whilst sleeping’ (Fig. 3). However, half of prescribers reported that they believed that less than 25% of their patients worried about nocturnal minor hypos.
Fig. 3
Situations in which prescribers feel their patients with type 2 diabetes on insulin analogs worry most about self-treated hypoglycemia
×
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Response to Self-Treated Hypoglycemia
A substantial proportion of patients reported adjusting their own treatment regimen in response to self-treated hypos. Among patients who had ever experienced such an event, 19%, 15%, and 13%, respectively, reported that they responded by missing, mistiming (>2 h earlier or later than prescribed), or reducing a dose of their basal insulin. Among patients who had experienced such an event in the past 30 days, 19% (range 1–30 occasions), 7% (range 1–30 occasions), and 7% (range 1–30 occasions), respectively, reported missing, mistiming, or reducing a dose of their basal insulin in response. On average, around 25% of patients reported increasing the frequency of blood glucose monitoring in response to self-treated hypos (Fig. 4).
Fig. 4
Frequency of specific responses to self-treated hypoglycemia (ever experienced and last 30 days) among patients on basal insulin analogs
×
A fear of nocturnal hypos appeared to be a particularly common reason for insulin misdosing. A total of 22% of patients reported that they had intentionally let their blood sugar level go higher than it should to reduce the risk of nocturnal self-treated hypos. A similar proportion (22%) reported that they had, at some time, not taken their insulin exactly as prescribed due to fear of nocturnal hypos.
Prescribers were asked to describe the recommendations they gave to patients who experienced a number of minor hypos. The actions that most physicians reported they undertook ‘most or all of the time’ were educational: ‘educate the patient on how to avoid hypoglycemia’ (80% of prescribers), ‘educate the patient on how to recognize hypoglycemia’ (79%), and ‘advise them on how to self-manage hypoglycemia’ (77%). Prescribers reported they were likely to adjust the treatment regimen ‘most or all of the time’ in such cases: ‘reduce the dose of basal insulin temporarily until they have restored hypoglycemia awareness’ (23%), ‘reduce the dose of basal insulin long-term’ (14%), ‘split the basal insulin into two doses’ (4%), ‘switch the type of insulin they are on’ (3%).
Self-treated hypos were also found to have an impact on healthcare resources; many patients who had experienced a self-treated hypo reported making unplanned trips to a diabetes specialist (26%), a primary healthcare provider (25%), or a hospital emergency department (14%). Further, a majority of prescribers (58%) reported that they were contacted at least once per month as a result of a patient experiencing a minor hypo, while 15% reported that they were contacted at least once per week.
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Discussion
This manuscript reports data from the second wave of the GAPP2 survey, which specifically examined the cumulative prevalence and impact of self-treated hypos among patients with T2DM treated with basal insulin analogs, with or without bolus insulin. The results corroborate many of the findings from the first wave of the GAPP2 survey [3, 6, 12, 13]. With regard to the incidence of self-treated hypos (i.e., missing, mistiming, or reducing doses), 28% of patients reported that they had experienced an event in the last 30 days. While this is lower than the 36% of patients who reported events in the first wave, it confirms that self-treated hypos are still relatively common in the lives of those with T2DM who are receiving treatment with insulin analogs.
Similar patterns of behavior in response to self-treated hypos were reported in the current survey and in the first wave, but a notably higher incidence of missed doses was observed in the current survey compared with the first wave (i.e., 19% versus 7%, respectively). The causes of this higher incidence observed in the second wave countries require further research. As in the first wave, we observed a higher rate of worry regarding nocturnal hypos compared with daytime events [3]. It is of note that the seven countries represented in the current survey differ substantially from those providing data in the first wave in terms of their culture, health systems and economics. It is therefore of interest that the psychological and behavioral findings from the current survey align with those of the more homogenous first wave cohort. This suggests that responses to self-treated hypos are not culture-specific and can be generalized worldwide.
Research has suggested that as few as 10 symptomatic, non-severe hypos per year can have a clinically relevant impact on functioning (e.g., work productivity). Further, the psychological impact of these events increases with their frequency [14, 15]. Extrapolation of the mean number of minor self-treated hypos observed in the current survey (i.e., 3.8 events over 30 days) suggests that many patients could be experiencing more than 40 self-treated hypos per year. Moreover, almost half of patients and physicians felt that the time taken to recover normal mental functioning after a minor hypo was greater than one hour, highlighting the non-trivial impact that these events can have on daily functioning. Hence, these results would indicate there is a need for enhanced surveillance and greater patient education when consulting with individuals at higher risk for minor hypos.
The results also indicate that prescribers greatly under-estimated levels of concern among their patients with regard to self-treated minor hypos. For example, while 75% of patients reported that they worried about self-treated hypos in situations where there was no easy access to food or drink, only 18% of physicians felt that patients worried about this scenario. This discrepancy suggests that prescribers may need to adopt a more proactive approach to addressing and managing their patients’ concerns regarding hypoglycemia, particularly with patients who have recently experienced a minor hypo, as these individuals often experience a greater fear of future events [16, 17].
Further, the impact of these events on general diabetes management must be considered. For some patients it may be necessary to adjust clinical management to account for their behavioral and psychological responses to events, since these responses include reducing or missing insulin doses and deliberately allowing blood glucose levels to rise. It is noteworthy that more than three-quarters of prescribers reported that they would usually respond to a patient experiencing repeated minor hypos by educating them on recognizing/avoiding and self-managing such events. However, few prescribers reported they would typically adjust the treatment regimen (e.g., switching the type of insulin or reducing the basal insulin dose temporarily or long-term). Such adjustments may be clinically appropriate in some cases, and it is important that prescribers remain vigilant to the potential threat of minor hypos. In this survey, prescribers reported that they had discussed minor hypos with only half of the patients they had seen in the past 30 days. It is thus likely that a greater focus on discussing minor hypos at initiation and/or early in insulin treatment could help to reduce the frequency of these events.
The survey had a number of important limitations that should be discussed. To enable comparison with the first wave of the GAPP2 survey [3, 6, 12, 13], we employed the same web-based methodology and this could be argued to have produced a selection bias. Namely, only literate participants with internet access were able to participate and it is likely that internet accessibility varied between the different countries that were sampled. This may have resulted in local over-representations of specific demographic groups with internet access, such as younger patients and those in office-based employment—particularly in developing countries where internet access is more limited. As an example, the Indian sample was more than 10 years younger and more than twice as likely to be employed when compared with the Australian sample. Moreover, internet access may still be an indicator of socioeconomic status and access to quality medical care, including the availability of prescription medication. Overall, these factors would suggest that the survey participants were not fully representative of the insulin-treated diabetes population in their respective countries.
Consequently, future research is now needed to survey more representative cohorts through the use of alternative methods (e.g., face-to-face interviews) and the inclusion of different insulin regimens (e.g., insulin pump therapy and premix insulin). For instance, in India, premix insulin is the preferred insulin treatment for T2DM, and the frequency and impact of self-treated hypos within this patient group is of clinical interest. As this survey was not designed to examine country-specific differences, further research is also needed to better understand the potential influence of culture and healthcare systems on the frequency of minor events, along with their psychological and behavioral outcomes. We also did not include a baseline measure of HbA1c, which would have allowed for the relationship between level of glycemic control, frequency and impact of self-treated hypos to be examined.
In addition, the survey was self-reported, which may have led to systematic errors (e.g., recall bias) that affected the accuracy of the responses. Attempts were made to mitigate this by focusing on self-treated minor hypos from the past 30 days only, and previous surveys and findings from focus groups conducted prior to GAPP2 have concluded that the recall of hypos can be accurate for up to one month [7, 18]. Additionally, an unwillingness to admit to negative outcomes (i.e., social desirability bias) may have led some respondents to under-report hypos. For instance, a conscientious patient diagnosed with T2DM may view high rates of minor hypos as an indication that they are not adequately managing their illness. To reduce the likelihood of this, patients were informed that results were confidential and that their data would not be shared with their physician.
Conclusions
It is clear from the findings in the present, second wave of the GAPP2 survey that many patients with T2DM using basal insulin analogs, with or without bolus insulin, need additional advice and support to further reduce rates of self-treated hypoglycemia. The current consensus statement from a working group of the American Diabetes Association and the Endocrine Society describes a number of strategies that are known to help prevent hypoglycemia [4]. These include patient education, dietary intervention, exercise management, medication adjustment, glucose monitoring, and clinical surveillance. Each of these approaches is potentially valid for managing both minor and severe hypoglycemia. During consultations with health professionals, all patients should be proactively approached on the topic of hypoglycemia to help mitigate the risk of such events occurring. An important clinical consideration is also the regular measurement of markers of over-insulinization, such as weight gain.
Our findings therefore support the need for implementation of the strategies outlined in the consensus statement. Additional research is also required to further characterize the attributes of patients at risk for minor hypoglycemia, including personality, culture, glucose control, complexity of insulin regimen, and lifestyle factors. It will then remain to be determined how these factors may predict the psychological and behavioral responses observed in the current survey.
Acknowledgments
The GAPP2 survey was funded by Novo Nordisk, which supported the work of the authors, as well as the medical communications company (FTI Consulting) and research company (Bryter Research) that analyzed the data and provided medical writing and editing assistance in the preparation of the manuscript. Medical writing and editing services were also provided by Dr L Gillies and Gabrielle Parker of Watermeadow Medical (UK). 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 to the version to be published. 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 included in the survey. The article processing charges for this publication were funded by Novo Nordisk.
Disclosures
Meryl Brod is a paid consultant to Novo Nordisk. Gagik Galstyan has received honoraria/consultation fees from Sanofi, Novo Nordisk, Lilly, Novartis, MSD, Astra Zeneca, Boehringer Ingelheim and Takeda and has served on advisory boards for MSD, Novo Nordisk and Sanofi. Ambika Gopalakrishnan Unnikrishnan has participated as a speaker in scientific sessions, clinical investigator and also as an advisor for Novo Nordisk as well as other pharmaceutical companies. Ilana Harman-Boehm has served on Novo Nordisk advisory boards and received honoraria for CME presentations from Novo Nordisk, Servier, Sanofi-Aventis, Roche Pharmaceuticals, Eli Lilly, Novartis, Merck and Johnson and Johnson, along with lectures sponsored by Novo Nordisk. Vinay Prusty is employed by Novo Nordisk. Fernando Lavalle has participated as a formal advisor to Sanofi, Novo Nordisk, Janssen Cilag, Boehringer Ingelheim, MSD and Astra Zeneca; conducted research activities for Sanofi, Novo Nordisk, Janssen Cilag, Boehringer Ingelheim, MSD and Astra Zeneca and participated in speaker’s bureaus for Sanofi, Novo Nordisk, Janssen, Pfizer, Astra Zeneca and Lilly. Margaret McGill has received honoraria for CME presentations for Novo Nordisk, Sanofi and MSD and has served on advisory boards for MSD and Abbott. Angela Murphy has served on Novo Nordisk advisory boards and received honoraria for CME presentations from Novo Nordisk, Servier, Sanofi-Aventis, Roche Pharmaceuticals, Eli Lilly, Novartis, Merck and Johnson and Johnson, along with lectures sponsored by Novo Nordisk. Felix Puchulu has participated in advisory boards for Novo Nordisk, Astra Zeneca, Sanofi and Janssen.
Compliance with Ethics Guidelines
All procedures conducted 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 included in the survey.
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.
Self-Treated Hypoglycemia in Type 2 Diabetes Mellitus: Results from the Second Wave of an International Cross-Sectional Survey
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Meryl Brod Gagik Galstyan Ambika Gopalakrishnan Unnikrishnan Ilana Harman-Boehm Vinay Prusty Fernando Lavalle Margaret McGill Angela Murphy Felix Puchulu
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