early glycemic control and magnitude of hba...
TRANSCRIPT
Early Glycemic Control andMagnitude of HbA1c ReductionPredict Cardiovascular Eventsand Mortality: Population-BasedCohort Study of 24,752 MetforminInitiatorsDiabetes Care 2017;40:800–807 | https://doi.org/10.2337/dc16-2271
OBJECTIVE
We investigated the association of early achieved HbA1c level and magnitude ofHbA1c reductionwith subsequent risk of cardiovascular events or death in patientswith type 2 diabetes who initiate metformin.
RESEARCH DESIGN AND METHODS
This was a population-based cohort study including all metformin initiators withHbA1c tests in Northern Denmark, 2000–2012. Sixmonths after metformin initiation,we classified patients by HbA1c achieved (<6.5% or higher) and by magnitude ofHbA1c change from the pretreatment baseline. We used Cox regression to examinesubsequent rates of acute myocardial infarction, stroke, or death, controlling forbaseline HbA1c and other confounding factors.
RESULTS
We included 24,752 metformin initiators (median age 62.5 years, 55% males)with a median follow-up of 2.6 years. The risk of a combined outcome eventgradually increased with rising levels of HbA1c achieved compared with a targetHbA1c of <6.5%: adjusted hazard ratio (HR) 1.18 (95% CI 1.07–1.30) for 6.5–6.99%,HR 1.23 (1.09–1.40) for 7.0–7.49%, HR 1.34 (1.14–1.57) for 7.5–7.99%, and HR 1.59(1.37–1.84) for‡8%.Resultswere consistent for individual outcomeevents and robustby age-group and other patient characteristics. A large absolute HbA1c reduction frombaseline also predicted outcome: adjusted HR 0.80 (0.65–0.97) for D = 24, HR 0.98(0.80–1.20) for D =23, HR 0.92 (0.78–1.08) for D =22, and HR 0.99 (0.89–1.10) forD =21 compared with no HbA1c change (D = 0).
CONCLUSIONS
A large initial HbA1c reduction and achievement of low HbA1c levels within6 months after metformin initiation are associated with a lower risk of cardiovas-cular events and death in patients with type 2 diabetes.
1Department of Clinical Epidemiology, Instituteof Clinical Medicine, Aarhus University Hospital,Aarhus, Denmark2Novo Nordisk Scandinavia AB, Ørestad, Copen-hagen, Denmark
Corresponding author: Reimar W. Thomsen,[email protected].
Received 24 October 2016 and accepted 6March2017.
This article contains Supplementary Data onlineat http://care.diabetesjournals.org/lookup/suppl/doi:10.2337/dc16-2271/-/DC1.
This article is featured in a podcast available athttp://www.diabetesjournals.org/content/diabetes-core-update-podcasts.
E.S.B. is currently in general practice in Hov,Municipality Søndre Land, Norway.
© 2017 by the American Diabetes Association.Readers may use this article as long as the workis properly cited, the use is educational and notfor profit, and the work is not altered. More infor-mation isavailableathttp://www.diabetesjournals.org/content/license.
Elisabeth Svensson,1
Lisbeth M. Baggesen,1 Søren P. Johnsen,1
Lars Pedersen,1 Helene Nørrelund,1
Esben S. Buhl,2 Christiane L. Haase,2 and
Reimar W. Thomsen1
800 Diabetes Care Volume 40, June 2017
CARDIOVASC
ULA
RANDMETABOLICRISK
Lowering glycated hemoglobin (HbA1c)levels to ,7% (,53 mmol/mol) in mostadults with type 2 diabetes has been arecommended target in treatment guide-lines for more than a decade (1–4) be-cause of the documented effect inreducing microvascular complications(5). In contrast, it remains debatedwhether even tighter glucose control(such as HbA1c,6.5%)may bemore ben-eficial or harmful (6) and what the trueeffect of tight early glucose control is onsubsequent cardiovascular disease (7). Al-though the large clinical randomized con-trolled trials have failed to show a clearbeneficial effect of early intensive glyce-mic control on cardiovascular events intype 2 diabetes (5), long-term follow-upstudies from the UK Prospective DiabetesStudy (UKPDS) (8) and Veterans study (9)have suggested a beneficial cardiovascu-lar effect, termed “metabolicmemory” or“legacy effect.” (10) In observational re-search, most studies, but not all, suggestthat having a low glycemic level mea-sured at some point of time is associatedwith fewer cardiovascular events andmortality in type 2 diabetes (11–18).Some studies found a linear relationshipbetween successively lower glycemic lev-els and fewer cardiovascular events(11,12,18), whereas others reported aJ- or U-shaped curve (14–16). Comparisonof these studies is hampered by inclusionof case patients with prevalent diabeteswith different time of diabetes durationand by different ways of measuring glyce-mic control. Only two of the observationalstudieson cardiovascular risk began at thediagnosis of diabetes (15,18). Olsson et al.(18) found an overall increased risk ofacute myocardial infarction with a time-updated HbA1c ,6.0% (42 mmol/mol)compared with 6–7%, whereas Ostgrenet al. (15) reported the lowest cardiovas-cular risk was seen with an early achievedHbA1c level of 6.8% (51 mmol/mol).Whether the magnitude of early HbA1creduction predicts subsequent prognosisremains unknown.Because current guidelines empha-
size the importance of tight glycemiccontrol early after diabetes diagnosis,before complications have occurred(4), further research is warranted onthe association of early glycemic controlwith cardiovascular events, taking intoaccount HbA1c at the initiation of metfor-min use. Thus, using real-life data fromDanishmedical registries, we investigated
the association of achieved HbA1c leveland magnitude of HbA1c reduction withsubsequent risk of myocardial infarction,stroke, and death in a population-basedcohort of patients with incident type 2diabetes initiating metformin.
RESEARCH DESIGN AND METHODS
SettingWe conducted this cohort study usingdata from existing population-basedmedical registries covering NorthernDenmark region’s 1.8 million residents(30% of Denmark’s population) during2000–2012. Linkage of all registries wasmade possible through the unique CivilPersonal Registrationnumber (19). InDen-mark, most cases of type 2 diabetes arediagnosed by general practitioners (GPs),and anestimated 80%are also treated andmonitored there. The remaining 20% arereferredby theirGP todiabetes outpatientspecialist clinics at public hospitals (20). Allprescribed medications can only be re-deemed at community pharmacies (21).This study was approved by the DanishData Protection Agency (Record number1-16-02-1-08). Because this registry-basedstudy did not involve patient contact, noseparate permission from the Danish Sci-entific Ethical Committeewas required ac-cording to Danish Legislation.
Study PopulationOverall methods are described in moredetail in previous reports (22,23). Inbrief, we identified all patients withtype 2 diabetes aged 30 or older livingin Northern Denmark who initiated first-time ever glucose-lowering drug treat-ment between 1 January 2000 and31 December 2012. Patients had tohave at least one available HbA1c mea-surement within 12 months before andagain ;6 months after treatment initia-tion (if several HbA1c measurements oc-curred during day 60–180, the valueclosest to day 180 was chosen) (n =38,418) (22). Among these individuals,we selectedall patientswith incidentmet-formin monotherapy use (n = 24,752).Information on prescriptions was ob-tained via the Aarhus University Prescrip-tion Database, which has held completedata coverage in Northern Denmark since1998 (21). Information onHbA1cmeasure-ments was obtained via the clinical labo-ratory information system researchdatabase (LABKA), which has held com-plete data on biochemistry test results
from all GPs and hospitals in the regionsince 2000 (24).
We also identified all metforminmonotherapy initiators during 2000–2012 who did not have HbA1c valuesmeasured bothwithin 12months beforeand ;6 months after metformin initia-tion, and these patients were the non-measurement cohort (n = 17,142).
Early Glycemic Control: AchievedHbA1c and Magnitude of HbA1c
ChangeWe defined two ways to measure earlyglycemic control:
1. HbA1c level (%) achieved 6 monthsafter the index prescription of met-formin: ,6.5, 6.5–6.9, 7.0–7.4, 7.5–7.9, $8.
2. Magnitude of HbA1c reduction, definedas the absolute change in HbA1c (%)from baseline before metformin initia-tion to the level achieved at 6 monthsafter prescription: D 24,23,22,21,0, +1, or +2 and above. In more detail,D24 included reductions of23.5% ormore,D23 included reductions from22.5% to23.4%, D 22 from21.5%to 22.4%, D 21 from 20.5% to21.4%, D 0 from 20.4% to +0.4%,D +1 from +0.5% to +1.4%, and D +2included HbA1c increases of 1.5% ormore.
Cardiovascular Events and MortalityUsing the Danish National Patient Reg-istry (DNPR) (25), we identified all pa-tients hospitalized with myocardialinfarction and stroke. Diagnoses of myo-cardial infarction and stroke have beenpreviously validatedwith predictive valuesof 90% and 79%, respectively (26,27). Weused the Civil Registration System to iden-tify all deaths.We also constructed a com-bined outcome (death and/or myocardialinfarction and/or stroke). All diagnostic co-des used in the study are assembled inSupplementary Table 1. We monitoredall patients from180 days aftermetformininitiation until a cardiovascular event,death, emigration, or 31 December 2012.
CovariatesFrom the medical databases, we ob-tained data on patient characteristicsat 180 days after metformin initiation,potentially associated with both the ex-posure (early glycemic control) and out-come (cardiovascular events and death).We obtained data on 19 major disease
care.diabetesjournals.org Svensson and Associates 801
categories included in the Charlson Co-morbidity Index based on patients’ en-tire hospital contact history within5 years before follow-up start. We sep-arately ascertained contacts for obesity,alcoholism-related disorders, and forany macrovascular or microvascular di-abetes complication, including priorclinical biochemical indication of renaldisease from the DNPR and LABKA (fordefinitions, see Thomsen et al. [23] andSupplementary Table 1).FromthePrescriptionDatabase,weob-
tained information on the redemption ofany other glucose-lowering drug between14 days after the first metformin mono-therapy prescription and until follow-upstart. We also obtained information onany antihypertensive treatment, statins,antiplatelet drugs, and treatment withpsychiatric medications before follow-upstart.From LABKA we obtained information
on the latest baseline HbA1c and on thelatest LDL cholesterol and total cholesterolmeasurement taken within 12 months be-fore follow-up start. We assessed whetherrecommended cholesterol targets forpersons with diabetes were met or not(,2.5 mmol/L for LDL cholesterol and,4.5 mmol/L for total cholesterol) (28).
Statistical AnalysesWe used contingency tables to first de-scribe characteristics for all patients atday 180 after metformin initiation, byachieved HbA1c (%) level (,6.5, 6.5–6.9, 7.0–7.4, 7.5–7.9, $8), and by themagnitude of HbA1c reduction in %(D 24 or more, 23, 22, 21, 0, +1, +2and above). We created a stacked-bargraph figure to illustrate the distributionof achievedHbA1c levels for each baselineHbA1c group (Supplementary Fig. 1).We used Cox regression analyses to
compute crude and adjusted hazard ra-tios (HRs) with 95% CIs to examine theassociation between achieved HbA1c
level and absolute change in HbA1c
from baseline (%) at 6 months, respec-tively, and subsequent risk of cardiovas-cular events and death after 6 months.We adjusted all analyses for the follow-ing covariates (see Table 1 for categori-zation): age, sex, baseline HbA1c beforemetformin start, year of follow-up start,micro- and macrovascular complications,obesity, alcoholism, antiplatelet drugs,statins, antihypertensive drugs, psychiat-ric medications, reached cholesterol
target, and other glucose-lowering therapythanmetformin.We repeated the adjustedanalysis excluding baseline HbA1c.
We repeated all analyses, stratified byage-groups and presence of comorbidityat baseline (healthy vs. comorbidity).Adjusted HRs were also stratified bybaseline HbA1c (%) level (,7.5, 7.5–8.9, and $9) (Figs. 1 and 2). As a sensi-tivity analyses, we repeated our analysiswhile censoring all end points occurringwithin the first 2 years (as potentiallytoo soon for glycemic control to havehad an effect) and another includingonly individuals with at least 5 years offull follow-up.
To adjust for the potential residual orunmeasured effect of socioeconomicstatus (using low education as a proxy),we also did a sensitivity analysis withexternal adjustment (29), where we as-sumed that the relative risk of cardio-vascular events in those with a loweducational level was 1.33 (30) andthat the proportion of people with loweducation was 25% among patients withgood glycemic control (,7%) and 40% inthose with higher HbA1c levels. We usedSAS 9.2 software for all analyses.
RESULTS
Table 1 presents the 24,752 patientswith first-time metformin treatment ac-cording to achieved HbA1c level. Com-pared with those who had an HbA1c
of $8% at 6 months, patients whoachieved HbA1c ,6.5% were to a largerextent older ($70 years: 27% vs. 17%),female (47% vs. 38%), and more likely tohave initiated metformin in the most re-cent study years (started in 2010–2012:60% vs. 35%). They also had slightlymore macrovascular (15% vs. 12%) andmicrovascular (24% vs. 21%) complica-tions at baseline, received more preven-tive medications, and had less medicalobesity (8% vs. 11%). Patients withHbA1c,6.5% had amuch lower baselineHbA1ccomparedwith thosewhoattainedavalue $8%, and more of them had re-ceived no further glucose-lowering add-ontherapy within the first 180 days (Table 1).Supplementary Fig. 1 shows the distribu-tion of HbA1c achieved for each baselineHbA1c group.
Table 1 also reports patient charac-teristics by magnitude of HbA1c change.On the one hand, comparedwith patientswith small HbA1c reductions, those with alarge reduction tended to be younger,
had a lower prevalence of macrovascu-lar complications, had less comorbidity,and were prescribed less preventivemedication. On the other hand, patientswith large reductions in HbA1c had highHbA1c at baseline (e.g., 93% of thosewith HbA1c reduction of D 24% had abaseline HbA1c .10%) and received ad-d-on glucose-lowering therapy to agreater extent. In contrast, increasingHbA1c after metformin start was un-usual and indicated young age, use ofpsychiatric medications, and use ofdrugs other than metformin ratherthan having a specific level of baselineHbA1c (Table 1).
Median follow-up for our cohort was2.6 years (interquartile range [IQR] 1.2–4.7). We observed 439 incident myocar-dial infarctions, 594 strokes, and 1,845deaths. Figure 1 shows the unadjustedcumulative incidence of a combinedoutcome event by achieved early glyce-mic level at 180 days. The incidence wasconsistently lower in patients who hadachieved HbA1c ,6.5% and was highestin patients who had an HbA1c $8% at180 days after metformin. As a point ofcomparison, the outcome incidence inindividuals with no available HbA1c testboth before and after metformin (Fig. 1,black stippled line) was similar to that inpatients who achieved a low HbA1c.
Figure 2 shows that after adjustmentfor confounders, the risk of the compos-ite end point increased with rising levelsof early achieved HbA1c, compared withachievement of HbA1c ,6.5%. The ad-justed HR for the combined outcomewas 1.18 (95% CI 1.07–1.30) for anHbA1c level of 6.5–6.99%, HR 1.23(1.09–1.40) for 7.0–7.49%, HR 1.34(1.14–1.57) for 7.5–7.99%, and HR 1.59(1.37–1.84) for $8% (Fig. 2 and Supple-mentary Table 2). Differences betweencrude and adjusted HRs increased in thehighest HbA1c groups; that is, becausepatients with high HbA1c were youngerand had less comorbidity at baseline,their high cardiovascular risk furtherincreased after adjustment for thesedifferences in prognostic factors. Theadjusted model not including baselineHbA1c showed consistent results formyocardial infarction, stroke, and mor-tality but with less precise risk estimates(Supplementary Table 2). Results werealso consistent within different strata ofage and presence or absence of comor-bidity at baseline (Supplementary Fig. 2).
802 Early Glycemic Control and Type 2 Diabetes Outcomes Diabetes Care Volume 40, June 2017
Table
1—Characte
risticsat6monthsafte
rmetfo
rmin
start
among24,75
2metfo
rmin
initia
tors,
acco
rdingto
ach
ieve
dHbA1cormagnitu
deofabso
lute
HbA1creductio
nfro
mbase
line
Achieved
HbA1clevel6
monthsafter
metfo
rmin
startMagn
itudeofHbA1cchange
from
baselin
eto
6months
,6.5%
6.5–6.99%
7.0–7.49%
7.5–7.99%
$8%
Total
24%
ormore
23%
22%
21%
0%+1%
+2%ormore
n=11,849
(48%)
n=6,578
(27%)
n=3,035
(12%)
n=1,434
(6%)
n=1,856
(8%)
N=24,752
(100%)
n=1,893
(8%)
n=1,880
(8%)
n=2,685
(11%)
n=6,590
(27%)
n=11,179
(45%)
n=429
(2%)
n=96
(0%)
Variab
len
%n
%n
%n
%n
%N
%n
%n
%n
%n
%n
%n
%n
%
Baselin
eHbA1c ,%
,6.5
3,99834
2223
271
71
131
4,26717
00
00
30
4156
3,71538
9823
3630
6.5to
,6.9
3,79232
1,95030
2518
473
241
6,06425
00
00
251
2,15029
3,77639
9523
1815
7to
,7.4
1,0969
1,44522
54818
846
493
3,22213
00
10
873
1,67323
1,38314
6415
1412
7.5–7.9
6966
94014
56919
20114
1347
2,54010
00
91
39315
1,53721
5045
7919
1815
8–8.9
7236
80512
69923
40728
36120
2,99512
100
25616
1,09443
1,24617
3073
5513
2722
9–9.9
4544
4136
35912
25718
38321
1,8668
1857
63640
65926
3104
561
143
65
$10
1,0909
80312
58219
43130
89248
3,79815
2,66193
67443
28911
1162
380
174
33
Age-gro
up,years
#60
4,67740
2,51738
1,29643
73651
1,07758
10,30342
1,05456
1,05456
1,33650
2,52038
4,05436
22152
6467
61–70
3,92833
2,12032
95532
42930
46825
7,90032
55029
53228
76629
2,14533
3,77034
11727
2021
.70
3,24427
1,94130
78426
26919
31117
6,54927
28915
29416
58322
1,92529
3,35530
9121
1213
Male
sex6,325
533,594
551,713
56844
591,144
6213,620
551,239
661,184
631,653
623,651
555,584
50253
5956
58
Calen
dar
year
2000–200
3540
5356
5306
10178
12241
131,621
7228
12264
14296
11445
7338
344
106
6
2004–200
61,131
10762
12506
17276
19319
172,994
12500
18296
19429
17975
13712
764
1518
15
2007–200
93,127
262,170
331,147
1543
38643
357,630
31333
18334
18481
18888
14882
859
1417
18
2010–201
27,051
603,290
501,076
36437
31653
3512,507
51615
33618
33889
332,275
353,048
27151
3534
35
Macro
vascular
complicatio
ns
1,77415
1,05916
50217
21215
22912
3,77615
1548
21312
38214
1,07016
1,86617
7618
1516
Micro
vascular
complicatio
ns
2,84824
1,66125
78126
32623
38621
6,00224
33618
37320
59722
1,75427
2,79925
12028
2324
Hospital-d
iagnosed
obesity
8858
4747
2328
1299
20011
1,9208
1377
1337
2299
4998
8538
4911
2021
CharlsonCom
orbidityIndex
level$1
2,49621
1,48623
68823
31822
35919
5,34722
27314
34618
58522
1,49623
2,51623
10224
2930
Antip
lateletdrugs
4,57539
2,76442
1,23741
53337
58432
9,69339
54029
55830
94635
2,78142
4,66342
17140
3435
Statins
7,97067
4,53969
1,96665
86260
1,02555
16,36266
95751
1,00453
1,56258
4,42367
8,09172
27464
5153
Antih
yperten
sivedrugs
8,76374
4,99176
2,23874
98269
1,20765
18,18174
1,12460
1,19063
1,82368
5,05777
8,61277
31173
6467
Psych
iatricmed
ications
2,32920
1,14517
52717
22716
32718
4,55518
29316
29916
47018
1,14317
2,21020
10424
3638
Single
metfo
rmin
at6months
11,05793
6,07692
2,72490
1,21585
1,53683
22,60891
1,40874
1,49780
2,32086
6,10993
10,80897
39091
7679
care.diabetesjournals.org Svensson and Associates 803
The clearest association between higherHbA1c and worse outcomes was ob-served in patients aged 70 years or older.Figure 3 shows that the magnitude of
HbA1c change predicted outcome as well.Large HbA1c reductions were associatedwith the greatest outcome risk reductions
among patients with a high baseline HbA1c(i.e., .9%), although statistical precisionwas limited. In patientswith a lowbaselineHbA1c (i.e.,,7.5%), the pattern tended tobe U-shaped, with HbA1c reductions corre-sponding to D = 22% (from 21.5% to22.4%) predicting increasedoutcome risk.
The overall adjusted HR for a com-bined outcome was 0.80 (95% CI 0.65–0.97) forD =24, HR 0.98 (0.80–1.20) forD =23, HR 0.92 (0.78–1.08) for D =22,and HR 0.99 (0.89–1.10) forD =21 com-pared with the reference group withno HbA1c change (D = 0) (Fig. 3 andSupplementary Table 3). An increasedoutcome risk was seen in patients withincreasing HbA1c despite metformininitiation.
A sensitivity analysis that censored allend points occurring within 2 years andwas restricted to patients with at least5 years of full follow-up (SupplementaryTables 4 and 5 and Supplementary Figs.3 and 4) showed consistent results forbothHbA1c reductionandHbA1c achieved,albeit statistical precision was poorer.
When we externally adjusted for un-measured confounding resulting fromsocioeconomic status (proxy education)for the association between glycemiccontrol and macrovascular events, theanalyses yielded results consistent withthe overall findings.
CONCLUSIONS
In this population-based study of 24,752metformin initiators, attaining a stringentHbA1c goal of,6.5%within 6monthswas
Figure 1—Combined outcome event (acute myocardial infarction, stroke, or death) by achieved early glycemic level. The cumulative incidences of acombined outcome event by achieved HbA1c level 6 months after metformin start are shown among 24,752 metformin initiators in NorthernDenmark during 2000–2012. As a point of comparison, the black stippled line shows the event rate among 17,134 metformin initiators in whom anHbA1c measurement was missing before and after metformin initiation. Time (years) to cardiovascular disease (CVD) or death was from 6 months(180 days) after metformin initiation.
Figure 2—Adjusted HRs for combined outcome event (acute myocardial infarction, stroke, ordeath) by achieved HbA1c 6 months after metformin initiation. HRs are stratified by baselinepretreatment HbA1c levels of ,7.5%, from 7.5 to ,9.0%, and $9.0%. CVD, cardiovasculardisease; REF, reference (HR associated with target ,6.5%).
804 Early Glycemic Control and Type 2 Diabetes Outcomes Diabetes Care Volume 40, June 2017
associated with lower risk of cardiovascu-lar events and mortality, with the riskgradually increasing at higher HbA1c lev-els. A large magnitude of HbA1c reductionsimilarly was associated with a lower sub-sequent risk of adverse outcomes.Our results corroborate findings from a
few previous observational studies onearly glycemic control showing loweredrisk of macrovascular events (15,18),and also in the UKPDS trial (31), all inpatients with newly diagnosed type 2 di-abetes. Olsson et al. (18), monitoring101,799 patients from the Clinical Prac-tice Research Data Link in the U.K. be-tween 1995 and 2011 from start oftype 2 diabetes diagnoses, found an in-creased risk for myocardial infarction of;60% (HR 1.6) at an HbA1c of 7–8% vs.6–7%, with a median follow-up of 5.4years (18). Our corresponding findingwas slightly lower (HR 1.5 [95% CI 1.0–2.1]) comparing HbA1c of$8% vs.,6.5%,with a median follow-up of 2.6 years. Thesimilar findings, despite different catego-rization of HbA1c and use of differentHbA1c measure (updated means vs. earlyglycemic control), strengthens the validityof our results.Our data show that achievement of
stringent glycemic levels is possible inreal life in at least some elderly patientswith comorbidities and that reachingsuch levels predicts lower risk of vascularevents and death. Of note, elderly pa-tients with complications who attained
stringent HbA1c levels in our observa-tional study may have been selected bycaregivers through criteria that are notwell described in our data, for example,by having a low risk of hypoglycemia orhigh patient motivation and self-care (3).In accordance, the updated statementfrom the American Heart Associationand the American Diabetes Associationsuggests stringent targets for selected in-dividual patients, including patientswith a short disease duration (7).
A novel finding in our study was thatthe magnitude of early HbA1c reductionis an independent predictor of lowercardiovascular risk and death, also aftertaking pretreatment HbA1c level into ac-count. Nonetheless, in the subgroup ofpatients who had a low baseline HbA1c(,7.5%) before metformin initiation, areduction in the order of22% tended tobe associated with worse outcomes,consistent with findings from random-ized trials (5). As a result of the statisticalvariation and imprecision of outcomeHRs associated with limited size of thechange in HbA1c subgroups, our findingsshould be interpreted with caution.
Overall, our findings suggest thatrapid glycemic response may be usedas a possible source of identification of asubgroup of patients with a lower risk ofadverse outcomes. It is possible that rapidglycemic responders to therapy initiation(i.e., more easy-to-treat patients) mayhave a different pathological trajectory
and a milder variant of type 2 diabetesthan patients who are poor responders.It is also possible that it is the youngpatients with type 2 diabetes withoutcomplications that clinicians dare totreat intensively; for example , reduceHbA1c.10% to,7%, supported by a re-cent study fromDenmark (32). However,we observed a clear association betweenearly control and improved outcomes alsowhen restricted to people older than70 years in our study. Moreover, we havepreviously observed that young patients,to a lesser extent than older patients, reachan early glycemic control ,7% within6 months, possibly related to the fact thatthe pretreatment HbA1c with young debutof diabetes often is high (33).
The strengths of this study include apopulation-based design within thecomprehensive Danish public healthcare system, and accordingly, our datareflect actual clinical practice in diabetescare. Carstensen et al. (34) showed ahigh sensitivity and positive predictivevalue (.95%) for identifying patientswith type 2 diabetes using Danish regis-tries, with GP registration as the goldstandard. Positive predictive values forimportant comorbidities are also docu-mented as being high in the DNPR (25).Furthermore, we have a comprehensiveassessment of cardiovascular eventsand death, and validity of these codesare also high (26,27). We only looked atmyocardial infarction, stroke, and death,yet other studies have found similar associ-ations with glycemia for heart failure, assummed in the meta-analysis by Erqouet al. (35) Finally, we only included metfor-min initiators, increasing the homogeneityof the population studied and representingthe clinical practice today with metforminas the preferred initial pharmacologicalagent for type2diabetes (4).Whether earlyglycemic control by other oral glucose-lowering drugs is associated with similarbenefits remains to be proven.
Study limitations included that onlyapproximately half of all potentially eli-gible patients had HbA1c measurementswithin the right time frame around ther-apy start. The fact that patients with noHbA1c measurement available had lowoutcome risks suggests that this sub-groupmight have been less severe at start.Over time, the frequency of HbA1c mea-surements has increased, and becausetreatment guidelines have changed overtime from initial lifestyle modification to
Figure 3—Adjusted HRs for combined outcome event (acute myocardial infarction, stroke, ordeath) by magnitude of HbA1c reduction from baseline to 6 months. HRs are stratified bybaseline pretreatment HbA1c levels of ,7.5%, from 7.5 to,9.0%, and $9.0%. CVD, cardiovas-cular disease; REF, reference (HR associated with no change in HbA1c).
care.diabetesjournals.org Svensson and Associates 805
emphasizing early drug treatment, it islikely that patients had high HbA1c levelsin the beginning of our study period pri-marily as a result of late initiation ofmedical therapy and that HbA1c mea-surements from recent years more re-liably reflect baseline glycemic controlin newly diagnosed type 2 diabetes.Nonetheless, analyses stratified by pe-riod of metformin initiation showedconsistent results. Moreover, prescrip-tion redemption is only a marker of ac-tual drug consumption. We also have tobear in mind that the guidelines havechanged over time to encompass individ-ualized therapy (3,4). Pretreatment HbA1clevels have decreased substantially overtime in Denmark and in other countries,and achievement of early glycemic controlhas improved (22).By regression analyses and stratification,
we were able to evaluate the effect of arange of possible confounders of the asso-ciation between early glycemic control andcardiovascular events, and interestingly,few differences were seen comparingcrude and adjusted results and in stratifiedanalyses. Also, the analysis adjusted for po-tential unmeasured confoundingbyeduca-tional level showed consistent results. Wehad no data on tobacco smoking but wereable to adjust for a number of smoking-related diseases. Still, imperfectly mea-sured, unmeasured (e.g., BMI, diet, physicalactivity, social support, motivation, andself-care), or unknown factors may haveaffected our risk estimates.In conclusion, these real-world data
provide evidence that not only achieve-ment of early glycemic control but alsothemagnitudeofHbA1c reductionpredictsdecreased risk of cardiovascular outcomesand mortality in metformin initiators, in-dependent of baseline HbA1c levels attreatment initiation. Whereas causality isdifficult to prove in our observationalstudy design, these results provide anearly prediction tool for identification ofpatient subgroups with type 2 diabetesthat have increased risk for cardiovascularcomplications and death.
Acknowledgments. The authors thank biostat-isticians Johnny A. Kahlert and Nickolaj RisboKristensen, both from the Department of Clin-ical Epidemiology, Aarhus University Hospital,for their kind help and advice on data analysesand preparation of figures.Funding.TheDepartmentofClinicalEpidemiologyis a member of the Danish Centre for Strategic
Research in Type 2 Diabetes (DD2), supported bythe Danish Agency for Science (grant no.09-067009 and 09-075724), the Danish Healthand Medicines Authority, and the Danish Di-abetes Association. Project partners are listedon the website at www.DD2.nu.Duality of Interest. E.S.B. has been an em-ployee of Novo Nordisk Scandinavia AB but hastaken a position as a general practice physicianin Søndre Land Kommune, Norway as of 1 Febru-ary 2016. C.L.H. is an employee of Novo NordiskScandinavia AB. This study was partly supportedby a research grant from Novo Nordisk A/S toAarhus University. The Department of Clinical Ep-idemiology is involved in studies with fundingfrom various companies as research grants to(and administered by) Aarhus University, includ-ing the current study. No other potential conflictsof interest relevant to this article were reported.The Department of Clinical Epidemiology at
Aarhus University had control of the data andretained final authority over design, content, andinterpretation of the analyses, as well as the de-cision to submit the manuscript for publication.Author Contributions. E.S., L.M.B., S.P.J.,E.S.B., C.L.H., and R.W.T. contributed to thestudy concept and design. E.S., L.M.B., S.P.J.,L.P., H.N., E.S.B., C.L.H., and R.W.T. analyzed andinterpreted data. E.S., S.P.J., and R.W.T. draftedthe manuscript. L.M.B., S.P.J., L.P., and R.W.T.contributed to data acquisition. L.M.B. and L.P.contributed to statistical analysis. L.M.B., L.P.,H.N., E.S.B., and C.L.H. critically revised themanuscript for important intellectual content.S.P.J., L.P., E.S.B., C.L.H., and R.W.T. supervisedthe study. S.P.J., E.S.B., C.L.H., and R.W.T. ob-tained funding. S.P.J. andR.W.T. provided admin-istrative, technical, or material support. R.W.T. isthe guarantor of this work and, as such, had fullaccess to all the data in the study and takesresponsibility for the integrity of the data and theaccuracy of the data analysis.Prior Presentation. Part of the results werepresented as poster number 1092-P (GeneralPoster Session 11 June and selected for showcaseinaModeratedPosterDiscussione-PosterTheater12 June) at the 76th Scientific Sessions of theAmerican Diabetes Association, New Orleans, LA,10–14 June 2016. Part of the results were pre-sented as oral presentation number 261 at the32nd International Conference on Pharmacoepi-demiology & Therapeutic Risk Management ofthe International Society for Pharmacoepidemiol-ogy, Dublin, Ireland, 25–28 August 2016.
References1. American Diabetes Association. Standards ofmedical care in diabetes. Diabetes Care 2004;27(Suppl. 1):S15–S352. International Diabetes Federation GuidelineDevelopment Group. Global guideline for type 2diabetes. Diabetes Res Clin Pract 2014;104:1–523. Inzucchi SE, Bergenstal RM, Buse JB, et al.Management of hyperglycaemia in type 2 diabe-tes, 2015: a patient-centred approach. Updateto a position statement of the American DiabetesAssociation and the European Association for theStudy of Diabetes. Diabetologia 2015;58:429–4424. American Diabetes Association. Summaryof revisions. In Standards of Medical Carein Diabetesd2016 . Diabetes Care 2016;39(Suppl. 1):S4–S5
5. Hemmingsen B, Lund SS, Gluud C, et al. Tar-geting intensive glycaemic control versus tar-geting conventional glycaemic control fortype 2 diabetes mellitus. Cochrane DatabaseSyst Rev 2013;11:CD0081436. Garber AJ, Newcomer JW, Hennekens CH.Lower A1c targets in type 2 diabetes and in-creased mortality: causal or casual? Am J Med2013;126:1033–10347. Fox CS, Golden SH, Anderson C, et al.; Ameri-can Heart Association Diabetes Committee of theCouncil on Lifestyle and Cardiometabolic Health,Council on Clinical Cardiology, Council on Cardio-vascular and Stroke Nursing, Council on Cardio-vascular Surgery and Anesthesia, Council onQuality of Care and Outcomes Research, Ameri-can Diabetes Association. Update on preventionof cardiovascular disease in adults with type 2 di-abetes mellitus in light of recent evidence: a sci-entific statement from the American HeartAssociation and the American Diabetes Associa-tion. Diabetes Care 2015;38:1777–18038. Holman RR, Paul SK, Bethel MA, MatthewsDR, Neil HA. 10-year follow-up of intensive glu-cose control in type 2 diabetes. N Engl J Med2008;359:1577–15899. Hayward RA, Reaven PD, Wiitala WL, et al.;VADT Investigators. Follow-up of glycemic con-trol and cardiovascular outcomes in type 2 di-abetes. N Engl J Med 2015;372:2197–220610. CefaluWT, Rosenstock J, LeRoith D, Blonde L,RiddleMC.Getting to the “heart”of thematter ondiabetic cardiovascular disease: “thanks for thememory.” Diabetes Care 2016;39:664–66711. Stratton IM, Adler AI, Neil HA, et al. Associ-ation of glycaemia with macrovascular and mi-crovascular complications of type 2 diabetes(UKPDS 35): prospective observational study.BMJ 2000;321:405–41212. Eeg-Olofsson K, Cederholm J, Nilsson PM,et al. New aspects of HbA1c as a risk factor forcardiovascular diseases in type 2 diabetes: anobservational study from the Swedish NationalDiabetes Register (NDR). J Intern Med 2010;268:471–48213. Skriver MV, Støvring H, Kristensen JK,Charles M, Sandbæk A. Short-term impact ofHbA1c on morbidity and all-cause mortality inpeople with type 2 diabetes: a Danish popula-tion-based observational study. Diabetologia2012;55:2361–237014. Nichols GA, Joshua-Gotlib S, ParasuramanS. Glycemic control and risk of cardiovasculardisease hospitalization and all-cause mortality.J Am Coll Cardiol 2013;62:121–12715. Ostgren CJ, Sundstrom J, Svennblad B,Lohm L, Nilsson PM, Johansson G. Associationsof HbA1c and educational level with risk of car-diovascular events in 32,871 drug-treated pa-tients with type 2 diabetes: a cohort study inprimary care. Diabet Med 2013;30:e170–e17716. Chiang HH, Tseng FY, Wang CY, et al. All-cause mortality in patients with type 2 diabetesin association with achieved hemoglobin A(1c),systolic blood pressure, and low-density lipo-protein cholesterol levels. PLoS One 2014;9:e10950117. Kranenburg G, van der Graaf Y, van derLeeuw J, et al.; SMART Study Group. The relationbetween HbA1c and cardiovascular events in pa-tients with type 2 diabetes with and without vas-cular disease. Diabetes Care 2015;38:1930–1936
806 Early Glycemic Control and Type 2 Diabetes Outcomes Diabetes Care Volume 40, June 2017
18. Olsson M, Schnecke V, Cabrera C, Skrtic S,Lind M. Contemporary risk estimates of threeHbA1c variables for myocardial infarction in101,799 patients following diagnosis of type 2diabetes. Diabetes Care 2015;38:1481–148619. Schmidt M, Pedersen L, Sørensen HT.The Danish Civil Registration System as a toolin epidemiology. Eur J Epidemiol 2014;29:541–54920. Thomsen RW, Friborg S, Nielsen JS, SchrollH, Johnsen SP. The Danish Centre for StrategicResearch in Type 2 Diabetes (DD2): organizationof diabetes care in Denmark and supplementarydata sources for data collection among DD2 studyparticipants. Clin Epidemiol 2012;4(Suppl. 1):15–1921. Ehrenstein V, Antonsen S, Pedersen L. Ex-isting data sources for clinical epidemiology:Aarhus University Prescription Database. ClinEpidemiol 2010;2:273–27922. Thomsen RW, Baggesen LM, Svensson E,et al. Early glycaemic control among patientswith type 2 diabetes and initial glucose-loweringtreatment: a 13-year population-based cohortstudy. Diabetes Obes Metab 2015;17:771–78023. Thomsen RW, Baggesen LM, Søgaard M,et al. Early glycaemic control in metforminusers receiving their first add-on therapy: a pop-ulation-based study of 4,734 people with type 2diabetes. Diabetologia 2015;58:2247–2253
24. Grann AF, Erichsen R, Nielsen AG, Frøslev T,Thomsen RW. Existing data sources for clinicalepidemiology: the clinical laboratory informa-tion system (LABKA) research database at AarhusUniversity, Denmark. Clin Epidemiol 2011;3:133–13825. Schmidt M, Schmidt SA, Sandegaard JL,Ehrenstein V, Pedersen L, Sørensen HT. TheDanish National Patient Registry: a review ofcontent, data quality, and research potential.Clin Epidemiol 2015;7:449–49026. Madsen M, Davidsen M, Rasmussen S,Abildstrom SZ, Osler M. The validity of the di-agnosis of acutemyocardial infarction in routinestatistics: a comparison of mortality and hospi-tal discharge data with the Danish MONICA reg-istry. J Clin Epidemiol 2003;56:124–13027. Wildenschild C, Mehnert F, Thomsen RW,et al. Registration of acute stroke: validity in theDanish Stroke Registry and the Danish NationalRegistry of Patients. Clin Epidemiol 2013;6:27–3628. Danish Society of Cardiology. Dyslipidemia.Available fromhttp://nbv.cardio.dk/dyslipidaemi.Accessed 4 October 2016.29. Lash TL, Fox MP, Fink AK. Sensitivity analy-ses for unmeasured confounding. In ApplyingQuantitative Bias Analysis to EpidemiologicalData. Lash TL, Fow MP, Fink AK, Eds. Oxford,Springer-Verlag, 2009
30. Rasmussen JN, Rasmussen S, Gislason GH,
et al. Mortality after acutemyocardial infarction
according to income and education. J Epidemiol
Community Health 2006;60:351–35631. UK Prospective Diabetes Study (UKPDS)
Group. Effect of intensive blood-glucose control
with metformin on complications in overweight
patients with type 2 diabetes (UKPDS 34). Lan-
cet 1998;352:854–86532. Mor A, Berencsi K, Svensson E, et al. Pre-
scribing practices and clinical predictors of glu-
cose-lowering therapy within the first year in
people with newly diagnosed type 2 diabetes.
Diabet Med 2015;32:1546–155433. Svensson E, Baggesen LM, Thomsen RW,
et al. Patient-level predictors of achieving early
glycaemic control in Type 2 diabetes mellitus: a
population-based study. Diabet Med 2016;33:
1516–152334. Carstensen B, Kristensen JK, Marcussen
MM, Borch-Johnsen K. The National Diabetes
Register. Scand J Public Health 2011;39(Suppl.):
58–6135. Erqou S, Lee CT, Suffoletto M, et al. Associ-
ation between glycated haemoglobin and the
risk of congestive heart failure in diabetes mel-
litus: systematic review and meta-analysis. Eur J
Heart Fail 2013;15:185–193
care.diabetesjournals.org Svensson and Associates 807