- Research article
- Open Access
Diabetes treatment intensification and associated changes in HbA1c and body mass index: a cohort study
BMC Endocrine Disorders volume 16, Article number: 32 (2016)
To describe common type 2 diabetes treatment intensification regimens, patients’ characteristics and changes in glycated hemoglobin (HbA1c) and body mass index (BMI).
We constructed a national retrospective cohort of veterans initially treated for diabetes with either metformin or sulfonylurea from 2001 through 2008, using Veterans Health Administration (VHA) and Medicare data. Patients were followed through September, 2011 to identify common diabetes treatment intensification regimens. We evaluated changes in HbA1c and BMI post-intensification for metformin-based regimens.
We identified 323,857 veterans who initiated diabetes treatment. Of these, 55 % initiated metformin, 43 % sulfonylurea and 2 % other regimens. Fifty percent (N = 89,057) of metformin initiators remained on metformin monotherapy over a median follow-up 58 months (interquartile range [IQR] 35, 74). Among 80,725 patients who intensified metformin monotherapy, the four most common regimens were addition of sulfonylurea (79 %), thiazolidinedione [TZD] (6 %), or insulin (8 %), and switch to insulin monotherapy (2 %). Across these regimens, median HbA1c values declined from a range of 7.0–7.8 % (53–62 mmol/mol) at intensification to 6.6–7.0 % (49–53 mmol/mol) at 1 year, and remained stable up to 3 years afterwards. Median BMI ranged between 30.5 and 32 kg/m2 at intensification and increased very modestly in those who intensified with oral regimens, but 1–2 kg/m2 over 3 years among those who intensified with insulin-based regimens.
By 1 year post-intensification of metformin monotherapy, HbA1c declined in all four common intensification regimens, and remained close to 7 % in subsequent follow-up. BMI increased substantially for those on insulin-based regimens.
Metformin, a biguanide approved and marketed in the U.S. since 1995, is the preferred oral hypoglycemic medication for initial management of type 2 diabetes [1–4]. In 2006, after review of available evidence, the consensus statement by the American Diabetes Association and the European Association for the Study of Diabetes recommended lifestyle modification and metformin as the preferred first line therapies for type 2 diabetes, with a treatment goal being glycated hemoglobin (HbA1C) of ≤7 %. This recommendation was based on evidence from the United Kingdom Prospective Diabetes Study which demonstrated that those randomized to metformin experienced 42 % fewer diabetes-related deaths and 36 % fewer all-cause deaths compared to the diet alone arm [5, 6].
Despite consensus on initial diabetes treatment, when to intensify and the preferred specific treatment regimen remains highly patient specific. Diabetes treatment guidelines have advocated for a shared approach between provider and patient when choosing both the treatment goals and regimen for intensification . A number of factors influence providers to recommend a medication for intensification including medication costs, side effects, their own knowledge and beliefs about future treatment benefits, such as prevention or delay of macrovascular and microvascular disease . Patients’ understanding of their illness, adherence to their treatment regimens, and ability to manage medications also affect decision-making about treatment choices [9, 10]. Finally, health system factors including achievement of performance metrics can drive the decision to intensify therapy [11, 12]. Although many experts recommend titration of therapy to reach HbA1c goals of <7 %, VHA uses an algorithm which determines an individual glycemic target based on consideration of microvascular complications and co morbid illness (Table 1) . The guidelines note multiple treatment options as acceptable add-on medications. Oral medications in general are easier to initiate, but insulin dose can be modified in response to daily variation in food intake, exercise or other variables that cause daily fluctuation in glucose values. Because of the potential microvascular benefit to patients with tighter glycemic control, there has been a fairly substantial increase in the use of insulin over time .
Given the varied options available for add-on treatment after metformin, and the use of differing HbA1c goals for intensification, variation in clinical practice is likely to result. Little is known about the current clinical practice patterns for patients who fail initial diabetes treatment. Given the recent increase in early insulin use our aim was to describe common treatment intensification patterns after metformin monotherapy, the characteristics of patients prescribed specific regimens and changes in glycated hemoglobin (HbA1c) and body mass index (BMI) post-intensification.
Study design and data sources
We assembled a retrospective cohort of patients seen in Veterans Health Administration (VHA) facilities who had a new hypoglycemic prescription between October 1, 2001 and September 30, 2008 [15, 16]. Patients were considered new-users of a hypoglycemic medication if they had evidence of VHA healthcare utilization in the previous year, and had not filled any oral or injectable diabetic drug within the past 180 days according to a new user design .
VHA pharmacy data identified dispensed prescriptions, including medication name, date filled, days supplied, pill or vial number and dosage . VHA medical datasets containing demographic data and ICD9-CM coded diagnostic and procedure information identified inpatient and outpatient encounters . Laboratory test results were collected from standard VHA clinical sources. Vital signs data included all outpatient measurements of height, weight and blood pressure. For Medicare or Medicaid enrollees, we obtained supplemental encounter, prescription (Part D) and race data from the Centers for Medicare and Medicaid Services through VHAs interagency exchange agreement [20, 21]. We obtained dates of death from VHA vital status files. The institutional review boards of Vanderbilt University and the VHA Tennessee Valley Healthcare System approved this study with a waiver of informed consent.
Study population, treatment initiation and intensification
The study population comprised veterans ≥18 years old who filled a prescription for a hypoglycemic medication after at least 180 days without any oral or injectable diabetic drug fill (new-users), and who received regular VHA care (VHA encounter or prescription fill at least twice in the past 365 days) . Thus, veterans were required to have at least 365 days of available baseline data preceding their first eligible medication fill. The date of the qualifying first hypoglycemic medication fill was considered time zero (t0). We categorized patients based on the two most common initial treatments: metformin and sulfonylurea.
We followed all new-users of metformin from t0 through the prescription of another agent. Treatment intensification, termed t1 , to the initial regimen was defined as receiving a prescription for a medication other than metformin. The observation period extended from t1 through loss to follow-up; defined as the 181st day of no contact with any VHA facility (inpatient, outpatient or pharmacy use), death or the end of the study (September 30, 2011). Cohort re-entry was not allowed, therefore, only the first medication fill which fulfilled inclusion criteria was included.
HbA1c and BMI
Baseline HbA1c or BMI was defined as the value obtained closest to or at t1. We also collected HbA1c or weight values in each 30 day time-block after t1 and if none was available then the last observed post-intensification value was carried forward for up to 24 months. BMI was calculated by dividing the weight in kilograms by the square of height in meters. The median of all available heights was used for the calculation of BMI. Implausible values were excluded. This included any HbA1c value <3 and >30 %; height <48 and >90 in.; and weight <50 and >700 lb.
Study covariates were collected from 24 months preceding t1 and values closest to t1 are reported (Additional file 1: Table S1). Covariates included: age, sex, race (white, black, other), fiscal year, indicators of healthcare utilization (hospitalization within last year, number of outpatient visits), physiologic variables (blood pressure, creatinine, HbA1c, low density lipoprotein levels, presence of proteinuria, and body mass index), duration of monotherapy before intensification of diabetes regimen (diabetes duration), selected medications, smoking, and presence of co-morbidities.
We tracked diabetes medications on a day by day basis and evaluated when a prescription occurred for any hypoglycemic medication after t1. We described the proportion of metformin initiators who changed therapy at each time point after t1 and the most common regimens. Patterns of medications use are shown from t1 onward in stacked bar plots.
Using descriptive statistics, medians and interquartile ranges, we examined demographics of the population who intensified metformin monotherapy and those who did not intensify metformin therapy by 48 months after metformin initiation.
To explore changes in HbA1c and BMI, we plotted the monthly median values of HbA1c and BMI of intensified regimens with 95 % confidence intervals using the maximum Harrell-Davis standard error over time . We evaluated HbA1c and BMI using two approaches for medication use classification. First, patients were considered to remain on their initial intensified regimen from treatment intensification (t1) through the end of their follow-up regardless of adherence to drug regimen, medication changes, or the development of contraindications (persistent exposure not required). Second, to minimize exposure misclassification, exposure was defined and follow-up began at t1 + 6 months and persistent exposure was required [23, 24]. Non-persistence was defined as a gap of 90 days in which the patient had no anti-diabetic therapy available. Non persistence to the initial or intensified regimen could also occur at the time the patient filled a third anti-diabetic drug. In our population, allowing 90 days to refill medications approximates adherence of 80 % . Analyses were conducted using R Statistical Program (R Foundation, available at: http://www.r-project.org).
There were 323,857 new-users of hypoglycemic medications (Fig. 1). Of these, 176,556 (55 %) patients initiated metformin, 140,866 (43 %) initiated sulfonylurea, and 2 % initiated other regimens. Fifty percent (N = 89,057) of metformin initiators remained on metformin therapy over a median follow-up 58 months (interquartile range [IQR] 35, 74). There were 87,499 (49.6 %) patients who filled a prescription for a regimen other than metformin. The four most common intensification patterns were the addition of sulfonylurea (79 %), thiazolidinedione [TZD] (6 %), or insulin (8 %) or a switch to insulin monotherapy (2 %). The remaining 6 % included triple therapy, Glucagon like peptide-1 (GLP-1) receptor agonists and Dipeptidyl peptidase -4 inhibitors (DPP-4).
Patterns of diabetes medication use over time
Figure 2 panel a depicts the pattern of treatment regimens during 5 years post-intensification in the cohort of metformin initiators who intensified. All proportions are calculated based on the initial number of patients that intensified treatment (time 0 in figure). Thus, the figure also illustrates that the total number of metformin patients observed declined over time as patients died, were lost to follow-up or reached the end of study. Figure 2 panel b is a cross sectional evaluation of each year after intensification (where the proportion add to 100 %). A non-trivial proportion stopped all hypoglycemic medications (~10 % at any time point had no hypoglycemic filled within the prior 90 days). The use of sulfonylureas in combination or alone gradually decreased, but insulin use remained relatively low. For the 33 % of intensifiers who remained under follow-up at 5 years, 10.7 % were using metformin only, 25 % metformin + sulfonylurea, 14 % sulfonylurea only, 20 % other regimens, 15 % insulin based regimens and 14 % no treatment fill in the prior 90 days.
Characteristics of intensifiers and non intensifiers
Patients who intensified metformin monotherapy were predominately white males with a median age of 62 years old. Median time on metformin monotherapy prior to intensification was 18 months (IQR 6, 37) for addition of sulfonylurea, 11 months (4,23) for addition of TZDs, 13 months (3,34) for addition of insulin, and 31 months (18, 49) for switching to insulin. The median follow-up after intensification was 47 months (26, 66). Patients who intensified their metformin with an oral agent (either sulfonylurea or TZD) had less co-morbidity, fewer outpatient visits and were less likely to have been hospitalized in the previous year than those who added insulin or switched to insulin (Table 2).
Characteristics of metformin patients who did not intensify therapy by 1, 2 and 4 years of follow-up are included in Additional file 2: Table S2. Patients who remained on metformin monotherapy (never intensified) at 4 years after metformin initiation were slightly older (median age 67.3 years [60.8, 75.8]) than the majority of patients who intensified treatment with metformin + sulfonylurea (62 years [56.5, 70.9]). The median HbA1c among those who remained on metformin monotherapy at 4 years was 6.4 % [6.0, 6.8], 46 mmol/mol [42, 51] and BMI was 30.3 (27.1, 34.3). The proportion with specific comorbidities was generally similar between those who remained on metformin monotherapy and those who intensified treatment.
HbA1c and BMI
We followed HbA1c and BMI of patients who intensified to four common regimens after metformin monotherapy through the end of study or death (persistent exposure not required). Across these regimens, median HbA1c values declined from a range of 7.0–7.8 % (53–62 mmol/mol) at intensification to 6.6–7.0 % (49–53 mmol/mol) at 1 year, and remained stable up to 3 years afterwards. Median BMI ranged between 30.5 and 32 kg/m2 at intensification and increased during follow-up very modestly in those who intensified with oral regimens (Fig. 3). This modest weight gain stabilized by 2 years after treatment intensification. Among those using insulin based regimens (Fig. 4), weight gain was more pronounced and yielded between 1.5 and 2 unit increase in BMI (approximately 3–4 kg weight gain for an average man 5 ft 10 in.). Weight gain among insulin regimens did not appear to stabilize by 3 years. A parallel analysis, which censored patients if they switch regimens (persistent exposure required), yielded similar results (Additional file 3: Figure S1).
In this study, we report two main findings. First, among a national cohort of veterans with diabetes, 50 % of metformin initiators intensified therapy by 4 years of follow-up and while sulfonylurea was the most common addition, there was an increase in the proportion adding insulin over time. Second, among those who intensified to the four most common regimens, the median HbA1c was between 7 and 7.8 % (53–62 mmol/mol) at intensification and 6.6 to 7 % (49–53 mmol/mol) one year later and remained about 7 % for the next 3 years. Those on insulin based regimens had a 1–2 kg/m2 weight gain over 3 years.
Our observation of reductions in HbA1c levels with an associated weight gain among insulin regimens is consistent with results reported by Liu and colleagues . This network meta-analysis of 39 clinical trials (17,860 patients) compared addition of second line medication classes on HbA1c and BMI outcomes. Trials included were a minimum of 12 weeks and all less than a year of follow up, and evaluated metformin with the addition of either: placebo, sulfonylureas, TZDs, alpha-glucosidase inhibitors, glinides, DPP-4 inhibitors, or GLP-1 analogues or insulin. All drug classes reduced HbA1c by 0.6–1.07 % with no statistically significant differences among classes. Of note, changes in HbA1c were similar between regimens that added either insulin (biphasic insulin −1.07 % [−1.46, −0.69 %]; basal insulin −0.88 % [−1.21, −0.56 %]), or sulfonylureas (−0.82 % [−0.95, −0.70 %]) to metformin. However, biphasic insulin was noted to have the most weight gain (3.41 kg [2.04, 4.77]) followed by sulfonylureas (2.17 kg [1.70, 2.65 kg]) and basal insulin (1.38 kg [0.18, 2.60 kg]). In another meta-analysis by Bennett et al.  that included both clinical trials and observational studies, most add-on regimens had similar efficacy in reducing HbA1c but also differed in their effects on BMI.
In our cohort, the median HbA1c among those who intensified metformin (N = 87,499) was 7.4 % (6.7, 8.4) 57 mmol/mol (50, 68) at intensification, while the median HbA1c was 6.4 % (6.0, 6.8) 46 mmol/mol (42, 51) among those (N = 73,623) who did not intensify metformin monotherapy by 4 years. Interestingly, patients who intensified treatment were relatively similar in age and co-morbidities to those who did not intensify by 4 years. The American Geriatrics Society and the American Diabetes Association recommendations for care of the older adult with diabetes continue to recommend personalized HbA1c goals based on co-morbidities with appropriate goals being 7.5–8 % (58–64 mmol/mol) [28, 29]. VHA uses an approach which prompts the provider to risk stratify the patient to determine the HbA1c goals. Using this strategy many patients within VHA would fall under glycemic targets of <9 % (<75 mmol/mol) (Table 1) . Further research is needed to determine which patients might benefit from more aggressive diabetes therapy rather than applying broad thresholds to all patients .
Some limitations to our study should be noted. First, insulin is available as an over the counter product which may result in underestimation and misclassification of insulin users. However, a previous validation of insulin filled through VHA pharmacies found high accuracy (positive predictive value = 88 % [80,93], negative predictive value = 95 % [92,97]), suggesting that over the counter insulin use is infrequent in our system . Second, we utilized refill data as a proxy for medication taking. Nevertheless, prescription fills are a good proxy for medication use. Third, veterans may not receive all their care or medications in VHA facilities resulting in missing laboratory, weight data or medications, which we partially addressed through addition of Medicare and Medicaid information [20, 21]. Fourth, our patients reflect a typical veteran population, with most patients being white and male and with a more restricted formulary than many patients seen in the private sector. Extrapolation of these findings to other populations warrants caution. Finally, our assessment is purely descriptive and formal comparisons among intensification groups require accounting for the potential issues in confounding factors.
In summary, we found that all regimens were associated with HbA1C declines at 1-year of follow-up, as expected from clinical trial results. Those prescribed insulin-based regimens were more likely to have a sustained increase in weight. Although this study was not designed to directly compare regimen effectiveness, given the difference in the treatment patterns, and the similarity in HbA1c reduction, more emphasis should be placed on identifying oral regimens which are acceptable to patients, affordable, and have minimal side effects such as weight gain or hypoglycemia. This finding of increased weight gain among those using insulin in combination with our previous finding of increased mortality risk  should be considered by patients and clinicians when discussing the risks and benefits of adding insulin versus a sulfonylurea. Similarly, the HbA1c level at which patients have their treatment intensified should be individualized to account for the co-morbidities, life expectancy and patient age.
body mass index
- DPP-4 inhibitors:
dipeptidyl peptidase -4 inhibitors
- GLP-1 receptor agonists:
glucagon like peptide-1 receptor agonists
- t0 :
time zero—start of first diabetes drug
- t1 :
time one- date of treatment intensification or additional medication added to first diabetes drug
Veterans Health Administration
Desai NR, Shrank WH, Fischer MA, Avorn J, Liberman JN, Schneeweiss S, Pakes J, Brennan TA , Choudhry NK. Patterns of medication initiation in newly diagnosed diabetes mellitus: quality and cost implications. Am J Med. 2012;125:302 e1–7.
Maclean JR, Chapman RH, Ferrufino CP, Krishnarajah G. Drug titration patterns and HbA 1c levels in type 2 diabetes. Int J Clin Pract. 2009;63:1008–16.
Huizinga MM, Roumie CL, Elasy TA, Murff HJ, Greevy R, Liu X, Speroff T, Griffin M. Changing incident diabetes regimens: a Veterans Administration cohort study from 2000 to 2005. Diabetes Care. 2007;30:e85.
Wysowski DK, Armstrong G, Governale L. Rapid increase in the use of oral antidiabetic drugs in the United States, 1990–2001. Diabetes Care. 2003;26:1852–5.
Executive summary: standards of medical care in diabetes--2009. Diabetes Care. 2009;32(Suppl 1):S6–12.
Standards of medical care in diabetes--2009. Diabetes Care. 2009;32(Suppl 1):S13–61.
Inzucchi SE, Bergenstal RM, Buse JB, Diamant M, Ferrannini E, Nauck M, Peters AL, Tsapas A, Wender R, Matthews DR. Management of hyperglycemia in type 2 diabetes: a patient-centered approach: position statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2012;35:1364–79.
Vijan S, Sussman JB, Yudkin JS, Hayward RA. Effect of patients’ risks and preferences on health gains with plasma glucose level lowering in type 2 diabetes mellitus. JAMA Intern Med. 2014;174:1227–34.
Huang ES, Brown SE, Ewigman BG, Foley EC, Meltzer DO. Patient perceptions of quality of life with diabetes-related complications and treatments. Diabetes Care. 2007;30:2478–83.
Ismail-Beigi F, Moghissi E, Tiktin M, Hirsch IB, Inzucchi SE, Genuth S. Individualizing glycemic targets in type 2 diabetes mellitus: implications of recent clinical trials. Ann Intern Med. 2011;154:554–9.
Selby JV, Uratsu CS, Fireman B, Schmittdiel JA, Peng T, Rodondi N, Karter AJ, Kerr EA. Treatment intensification and risk factor control: toward more clinically relevant quality measures. Med Care. 2009;47:395–402.
Kerr EA, Gerzoff RB, Krein SL, Selby JV, Piette JD, Curb JD, Herman WH, Marrero DG, Narayan KM, Safford MM, et al. Diabetes care quality in the Veterans Affairs Health Care System and commercial managed care: the TRIAD study. Ann Intern Med. 2004;141:272–81.
VHA/ DoD: Clinical Practice Guideline for the Management of Diabetes edition 2010. http://www.healthquality.va.gov/guidelines/CD/diabetes/. Accessed 13 Jan 2015.
Roumie CL, Greevy RA, Grijalva CG, Hung AM, Liu X, Murff HJ, Elasy TA, Griffin MR. Association between intensification of metformin treatment with insulin vs sulfonylureas and cardiovascular events and all-cause mortality among patients with diabetes. JAMA. 2014;311:2288–96.
Hung AM, Roumie CL, Greevy RA, Liu X, Grijalva CG, Murff HJ, Ikizler TA, Griffin MR. Comparative effectiveness of incident oral antidiabetic drugs on kidney function. Kidney Int. 2012;81:698–706.
Roumie CL, Hung AM, Greevy RA, Grijalva CG, Liu X, Murff HJ, Elasy TA, Griffin MR. Comparative effectiveness of sulfonylurea and metformin monotherapy on cardiovascular events in type 2 diabetes mellitus: a cohort study. Ann Intern Med. 2012;157:601–10.
Ray WA. Evaluating medication effects outside of clinical trials: new-user designs. Am J Epidemiol. 2003;158:915–20.
Arnold N, Hines DM, Stroupe KM Comparison of VA Outpatient Prescriptions in the DSS Datasetsand the PBM Database VIREC Technical Report #1 2006. http://www.virec.research.va.gov/References/TechnicalReports/VIReCTechnicalReport1.pdf. Accessed 11 Nov 2010.
Centers for Medicaare and Medicaid services; ICD-9-CM: International classification of diseases, 9th revision, clinical modification. Salt Lake City, Utah: Medicode; 1988.
Humensky J, Carretta H, de Groot K, Brown MM, Tarlov E, Hynes D. Service Utilization of Veterans Dually Eligible for VA and Medicare Fee-For-Service: 1999–2004. 2012; 2(3). http://dx.doi.org/10.5600/mmrr.002.03.a06.
Hynes DM, Koelling K, Stroupe K, Arnold N, Mallin K, Sohn MW, Weaver FM, Manheim L, Kok L. Veterans’ access to and use of Medicare and Veterans Affairs health care. Med Care. 2007;45:214–23.
Harrell F, Davis C. A new distribution-free quantile estimator. Biometrika. 1982;69:635–40.
Cramer JA, Roy A, Burrell A, Fairchild CJ, Fuldeore MJ, Ollendorf DA, Wong PK. Medication compliance and persistence: terminology and definitions. Value Health. 2008;11:44–7.
Sikka R, Xia F, Aubert RE. Estimating medication persistency using administrative claims data. Am J Manag Care. 2005;11:449–57.
Greevy Jr RA, Huizinga MM, Roumie CL, Grijalva CG, Murff H, Liu X, Griffin MR. Comparisons of persistence and durability among three oral antidiabetic therapies using electronic prescription-fill data: the impact of adherence requirements and stockpiling. Clin Pharmacol Ther. 2011;90:813–9.
Liu SC, Tu YK, Chien MN, Chien KL. Effect of antidiabetic agents added to metformin on glycaemic control, hypoglycaemia and weight change in patients with type 2 diabetes: a network meta-analysis. Diabetes Obes Metab. 2012;14:810–20.
Bennett WL, Maruthur NM, Singh S, Segal JB, Wilson LM, Chatterjee R, Marinopoulos SS, Puhan MA, Ranasinghe P, Block L, et al. Comparative effectiveness and safety of medications for type 2 diabetes: an update including new drugs and 2-drug combinations. Ann Intern Med. 2010;154:602–13.
American Geriatrics Society. Ten Things Physicians and Patients Should Question (Choosing Wisely campaign edition 2013). http://www.choosingwisely.org/doctor-patient-lists/american-geriatricssociety/. Accessed 18 Dec 2014.
Kirkman MS, Briscoe VJ, Clark N, Florez H, Haas LB, Halter JB, Huang ES, Korytkowski MT, Munshi MN, Odegard PS, et al. Diabetes in older adults. Diabetes Care. 2012;35:2650–64.
Pogach L, Aron D. The other side of quality improvement in diabetes for seniors: a proposal for an overtreatment glycemic measure. Arch Intern Med. 2012;172:1510–2.
Niesner K, Murff HJ, Griffin MR, Wasserman B, Greevy R, Grijalva CG, Roumie CL. Validation of VA administrative data algorithms for identifying cardiovascular disease hospitalization. Epidemiology. 2013;24:334–5.
This project was funded by the by VA Clinical Science research and Development investigator initiated grant CX000570-01 (Roumie) and the Center for Diabetes Translation Research P30DK092986 (Roumie). Dr. Hung (2-031-09S) was supported by VA Career Development Award. Support for Veterans Affairs/Centers for Medicare & Medicaid Services data provided by the Department of Veterans Affairs, Veterans Affairs Health Services Research and Development Service, Veterans Affairs Information Resource Center (project numbers SDR 02–237 and 98–004).
Availability of data
The protocol, statistical code, and a de-identified and anonymized dataset are available from Dr. Roumie on request.
Design of the study (CLR, RAG, CGG, AMH, MRG) Conduct/data collection (CLR, XL, RAG, MRG) Data Analysis (XL, RAG) Drafting manuscript (CLR) Critical revision of manuscript (CLR, AMH, XL, RAG, CGG, MRG). CLR and RAG had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. All authors read and approved the final manuscript.
The authors declare that they have no competing interest.
The authors of this report are responsible for its content. Statements in the report should not be construed as endorsement by the Department of Veterans Affairs.
Definitions of comorbid conditions and medications, on the basis of codes and prescriptions in 730 days (24 months) before treatment intensification. (DOC 79 kb)
Characteristics of Metformin initiators who never intensified therapy by 12, 24 and 48 months of follow-up. (DOC 74 kb)
Median HbA1c and BMI and confidence intervals* by intensification group over time: metformin+ sulfonylurea (Panel A); metformin+ thiazolidinedione (Panel B); metformin+ insulin (Panel C); or switch to insulin monotherapy (Panel D). Patients are allocated into these drug treatment exposures at treatment intensification + 6 months and persistence on medication is required. Confidence intervals were calculated using the maximum Harrell-Davis standard error. (DOCX 328 kb)
About this article
Cite this article
Roumie, C.L., Greevy, R.A., Grijalva, C.G. et al. Diabetes treatment intensification and associated changes in HbA1c and body mass index: a cohort study. BMC Endocr Disord 16, 32 (2016). https://doi.org/10.1186/s12902-016-0101-2
- Diabetes mellitus type 2
- Patterns of care
- Clinical effectiveness, treatment intensification
- Clinical outcomes