© 2005 by the American Diabetes Association, Inc.
Glycemic Control Continues to Deteriorate After Sulfonylureas Are Added to Metformin Among Patients With Type 2 Diabetes
1 Department of Epidemiology, Merck Research Laboratories, Merck, West Point, Pennsylvania Address correspondence and reprint requests to Michael N. Cook, PhD, Department of Epidemiology, Merck Research Laboratories, Merck, BL 1-7, P.O. Box 4, West Point, PA 19486-0004. E-mail: michael_cook{at}merck.com
OBJECTIVETo describe the course and predictors of glycemic control among patients with type 2 diabetes after sulfonylureas (SUs) are added to metformin (MF).
RESEARCH DESIGN AND METHODSPatients (n = 2,220) treated with MF monotherapy for >90 days before initiating MF plus SU combination therapy between January 1998 and March 2004 were studied in a retrospective analysis of electronic medical records from U.K. primary care practices using the General Practice Research Database. Median glycoslyated hemoglobin A1c (A1C) before and after SU initiation was described, and patient characteristics were evaluated as predictors of time until A1C
RESULTSAt 6 months post-SU initiation, median A1C resumed deteriorating at a somewhat comparable rate to that observed on MF monotherapy. Higher pre-SU A1C, younger age, female sex, shorter diabetes duration, higher serum creatinine, and being an ex-smoker predicted time until A1C
CONCLUSIONSIn this population, glycemic control is improved following the addition of SUs to MF, but deterioration resumes as early as 6 months. The high proportion of patients remaining on MF plus SU therapy despite having A1C
Abbreviations: GPRD, General Practice Research Database IQR, interquartile range MF, metformin OHA, oral hypoglycemic agent SU, sulfonylurea UKPDS, U.K. Prospective Diabetes Study
Type 2 diabetes is a chronic progressive disorder, with increasing worldwide prevalence and significant direct and indirect economic costs (12). The macrovascular and microvascular complications associated with diabetes are well documented by the U.K. Prospective Diabetes Study (UKPDS) (3) and other studies (4), and current management guidelines have suggested more aggressive goals for glycemic control (56). Declining pancreatic ß-cell function is thought to underlie the progressive hyperglycemia seen in type 2 diabetes (7). Monotherapy with an oral hypoglycemic agent (OHA) is often initially effective in controlling hyperglycemia, but currently marketed oral therapies are associated with high secondary failure rates (713). In the UKPDS, 53% of newly diagnosed diabetic patients treated with a sulfonylurea (SU) required the addition of insulin to maintain adequate glycemic control by 6 years (8). Recent controlled clinical trials (1420) of 12 years duration support these findings. Observational studies (2124) generally also find a progressive deterioration of glycemic control. For patients not requiring insulin, combination therapy with OHAs, most commonly metformin (MF) and an SU, are being increasingly used to maintain target plasma glucose levels. Early addition of MF to patients on monotherapy with SUs in the UKPDS lowered A1C levels initially, but subsequent values increased at the same rate as on SUs alone (25). Little is known about glycemic control over time with MF plus SU combination therapy among patients previously treated with MF monotherapy. In addition, patient characteristics that predict how long patients can remain on combination therapy before requiring more intensive glucose-lowering interventions have not been well established. We conducted a retrospective population-based observational study using electronic medical records to evaluate combination therapy with MF and SUs in controlling A1C over time among patients with type 2 diabetes.
The General Practice Research Database (GPRD) (26) contains anonymized electronic medical records from primary care for >3 million residents of the U.K. The GPRD includes information on patient demographics, outpatient drug prescriptions, medical diagnoses, specialist referrals, hospital admissions, outpatient laboratory test results, and clinical findings (e.g., BMI, smoking, and blood pressure). This study analyzed data from 290 practices deemed to be "up-to-standard" for research purposes as of 31 March 2004 based on data quality criteria (27). We identified patients with type 2 diabetes in the GPRD whose first evident computer-issued prescription for an antidiabetic agent was for MF and then selected all those with at least one prescription for an SU between 1 January 1998 and 31 March 2004 who continued to receive prescriptions for MF without a concurrent prescription for insulin or a third OHA (acarbose, troglitazone, pioglitazone, rosiglitazone, repaglinide, or nateglinide). Patients were excluded for the following reasons: not registered as a permanent patient of a general practitioner (n = 11); registration details incomplete or invalid (n = 81); <1 year of registration with a general practitioner (n = 478); <1 year of up-to-standard follow-up (n = 729); <90 days of prior use of MF monotherapy (n = 836); date of first diabetes diagnosis missing or invalid (n = 119); recorded history of insulin-dependent diabetes, malnutrition-associated diabetes, drug-induced diabetes, or gestational diabetes (n = 53); <30 years of age when diabetes was first diagnosed (n = 13); no historical A1C test results recorded (n = 377); and no A1C test result recorded within 90 days before SU initiation (n = 797). The final study sample consisted of 2,220 patients.
Variable definitions
End point definitions
Statistical analysis
The relationship between patient characteristics and time to each end point was evaluated using Cox proportional hazards regression models. Hazard ratios (HRs) and 95% CIs were estimated using multivariable regression. Subjects with missing data for any predictor variable were excluded from all analyses. Subjects without a subsequent A1C measurement recorded during follow-up were also excluded from analyses of end points defined by A1C. For categorical variables, the HR estimated the ratio of failure rates comparing patients with the characteristic with patients in the reference group. For continuous variables, the HR estimated the change in the failure rate for a one-unit increase in the predictor variable. Kaplan-Meier analyses were used to estimate the proportions of patients over time to have had at least one A1C We investigated potential surveillance bias in A1C monitoring by evaluating between-group differences in median time to the first A1C test >90 days after the addition of the SU using the log-rank test. The annual frequency of A1C testing during follow-up among different patient subgroups also was compared. All statistical analyses were performed using SAS version 8.2 (SAS Institute, Cary, NC).
The average age of the study population was 62 years (range 3196 years), 54% were men, and the median time since diabetes diagnosis was 3.8 years (Table 1). Median A1C was 8.8%, and 76% of patients had an A1C >8.0% at the time of SU initiation. The subgroup who achieved A1C <7.0% while on MF plus SU combination therapy had a lower median A1C, higher median age, and longer median duration of diabetes at the time an SU agent was added compared with the overall patient population.
On average, A1C was measured twice a year in this population. Median A1C increased monotonically while patients were on MF monotherapy at an estimated annualized rate of 0.32% (95% CI 0.260.38) from 3 years to 6 months before an SU agent was added to MF (Fig. 1). In the 6-month period immediately preceding SU initiation, loss of glycemic control appeared to accelerate sharply at an estimated annualized rate of 1.21% (0.961.46). Median A1C dropped from 8.8% to an observed population nadir of 7.3% at 6 months post-SU. After the 6th month of MF plus SU treatment, median A1C resumed its pre-SU pattern of deterioration, with an estimated annualized rate of change of 0.61% (0.280.94) between 6 and 12 months after SU initiation when the use of other glucose-lowering therapies was still limited (<9%). As increasing numbers of patients were censored due to starting insulin or other OHAs, the rate of A1C change in the population appeared to become fairly flat, and median A1C remained 8.0% between 1 and 3 years after SU initiation.
Higher pre-SU A1C (P < 0.001), younger age (P = 0.016), and female sex (P = 0.021) predicted shorter time to A1C 8.0% or therapy intensification after the addition of an SU to MF (Table 1). Higher pre-SU A1C (P < 0.001) and being an ex-smoker (P = 0.004) were predictive in the subgroup who achieved A1C <7% while on MF plus SU combination therapy (Table 1). Disregarding therapy intensifications in the composite end point did not materially change these results.
Over 3,810 person-years of follow-up, while patients were treated with MF plus SU combination therapy (n = 2,220), 278 patients intensified their glucose-lowering regimen (123 started insulin and 155 added a third OHA in combination with both MF and an SU agent), while 155 patients switched to a third OHA and discontinued either MF or the SU agent. Median (IQR) A1C at the time of therapy intensification was 9.5% (8.710.5), and median (IQR) time from patients first post-SU A1C
Over 4,207 person-years of follow-up, 188 patients initiated insulin, of whom 65 had previously tried a third OHA. Median (IQR) A1C at the time of patients first insulin prescription was 9.9% (9.011.0). Higher pre-SU A1C (P < 0.001), younger age (P = 0.004), female sex (P = 0.001), and being an ex-smoker (P = 0.033) predicted shorter time to the initiation of insulin (n = 1,621 patients, events = 122). Among patients with an A1C measurement recorded 91180 days post-SU, pre-SU A1C (P = 0.005) was the only factor predictive of shorter time to a
Kaplan-Meier estimates of the proportion of patients with at least one A1C
Median time to the first A1C test after the 90th day of SU treatment was 83 days in the overall population (n = 1,786), and it was significantly longer for younger compared with older patients (P < 0.01) and significantly longer for patients with higher compared with lower levels of pre-SU A1C (P = 0.02). Median time to the first A1C test after 90 days of SU treatment was materially shorter for women than for men (P = 0.06). No material differences in median times to A1C testing were observed across levels of smoking, diabetes duration, and serum creatinine. Frequency of A1C testing during each year of follow-up was similar across these patient subgroups.
Based on this retrospective analysis of a large database of electronic medical records from U.K. primary care practices, we found that the progressive deterioration in A1C observed while patients were treated with MF monotherapy resumes after the initial 6 months of MF plus SU combination therapy. This observation is consistent with UKPDS findings for oral monotherapy among newly diagnosed patients with diabetes. In this interventional study, median A1C rose from 6.0 to 8.5% for intensive therapy with MF or SUs at 6 years (12,25). The annualized rate of A1C change in the 612 months after SU initiation in our population (0.6%) was comparable to the rate observed >6 months before an SU was added (0.3%) while our population was still on MF monotherapy, and it was also similar to the annualized rate of A1C change observed among patients treated with glibenclamide (0.5%) in the UKPDS (8). The accelerated deterioration of glycemic control observed during the 6 months leading up to the addition of the SU in our study is likely due to the selection of patients at the time of a recent spike in their A1C (which had prompted their physicians to add an SU agent). A sharp rise in mean A1C manifesting in the year preceding the addition of MF to SU monotherapy was also noted in another observational study that used similar methods (21). The apparent lack of A1C deterioration observed in our data 12 months after SU initiation may be largely due to survivor bias, where patients with higher A1C levels were disproportionately censored at earlier time points due to starting other agents, leaving patients with better glycemic control in the analysis at later time points. Few observational studies have evaluated predictors of A1C deterioration over time among patients with type 2 diabetes treated with OHAs, particularly MF plus SU combination therapy. A study (24) of patients with type 2 diabetes treated in a health maintenance organization in the Pacific Northwest found that higher A1C, older age, and poorer medication adherence predicted a >0.10% increase in the next A1C measurement for patients treated with the combination of MF plus SU, with no significant association found with sex or the number of months of therapy. A Scottish study (22) found that higher pretreatment A1C, younger age, lower BMI, but not duration of diabetes were associated with a higher rate of switching to insulin among new users of OHAs. These results agreed with those of the UKPDS, which found a faster rate of progression to additional therapy among subjects with higher pretreatment A1C, younger age at diagnosis, low BMI (<25 kg/m2), lower ß-cell function, and white race (12). Our study population included predominantly overweight patients previously treated with MF, which may partially explain why BMI was not a significant predictor. The observation that a higher baseline A1C is predictive of inadequate glycemic control after the start of combination therapy is to be expected because patients with more severe baseline hyperglycemia likely have less residual ß-cell function and, hence, may be more susceptible to disease progression. Patients with higher serum creatinine, younger age, and shorter duration of disease at the time that a second agent is initiated may also have disease marked by more rapid progression, which would predict a subsequent rapid deterioration in A1C. The biological relevance of quitting smoking to diabetes progression is unclear but may be related to weight gain. The sex difference in A1C deterioration observed in our data should be interpreted with caution in light of the shorter time to A1C testing found among women compared with men in our study.
Our data suggest that half of all patients had A1C Several considerations should be taken into account in interpreting our results. The timing of A1C measurements during follow-up may have been dependent on patients pre-SU A1C level. We attempted to minimize this potential bias by using a moving 3-month interval and by using mixed-effects modeling. Our analyses were also unable to control for dosage changes or account for patient adherence to their prescribed drug therapies. In view of our use of electronic medical records, there was considerable variability in the timing and frequency of laboratory measurements, and some patients were excluded from some analyses due to missing data. The availability of A1C values in electronic medical records provided a unique opportunity to study the deterioration of glycemic control over time in patients treated with MF plus SU combination therapy under conditions of routine primary care in the U.K. Our findings suggest that the progressive deterioration of A1C observed while patients are treated with MF monotherapy resumes within 6 months after an SU agent is added and highlights the importance of aggressive monitoring and prompt intervention to improve glycemic control in patients with type 2 diabetes.
This research was sponsored by Merck, Whitehouse Station, New Jersey. This study is based in part on data from the Full Feature General Practice Research Database obtained under license from the U.K. Medicines and Healthcare Products Regulatory Agency. However, the interpretation and conclusion contained in this report are those of the authors alone.
A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances. Received for publication October 26, 2004. Accepted for publication February 7, 2005.
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