Literature DB >> 33883887

Glomerular Filtration Dysfunction is Associated with Cardiac Adverse Remodeling in Menopausal Diabetic Chinese Women.

Xing Song1, Gang Li1, Yuqi Zhu1, Jari A Laukkanen2,3,4.   

Abstract

BACKGROUND: Previous studies have showed that nephropathy was associated with cardiac structural changes and dysfunction among diabetic adults. However, information on the association of glomerular filtration dysfunction with the cardiac adverse remodeling is still limited in menopausal diabetic women. Therefore, we investigated whether impaired glomerular filtration function is associated with the cardiac adverse remodeling in menopausal Chinese women with type 2 diabetes mellitus (DM).
METHODS: A total of 1231 hospitalized menopausal Chinese women with type 2 DM were collected retrospectively. The cross-sectional data of echocardiography were compared among estimated glomerular filtration rate (eGFR) categorized groups.
RESULTS: In menopausal diabetic women, moderate to severe glomerular filtration dysfunction (eGFR <60 mL/min per 1.73m2) was found to be associated with enlarged left-side atrioventricular chambers, increased ventricular wall thickness, decreased cardiac function and dilated right ventricle (All P < 0.05).
CONCLUSION: Glomerular filtration dysfunction is associated with cardiac adverse structural remodeling and dysfunction in menopausal Chinese women with type 2 DM.
© 2021 Song et al.

Entities:  

Keywords:  aging; cardiac remodeling; glomerular filtration rate; menopausal women; type 2 diabetes mellitus

Mesh:

Year:  2021        PMID: 33883887      PMCID: PMC8055368          DOI: 10.2147/CIA.S306342

Source DB:  PubMed          Journal:  Clin Interv Aging        ISSN: 1176-9092            Impact factor:   4.458


Introduction

It is well known that patients with type 2 diabetes mellitus (DM) are susceptible to increased risk of cardiomyopathy, coronary atherosclerosis and cardiac death.1,2 Recent studies showed that the increased incidence of cardiovascular events and mortality in diabetic patients is also ascribed to diabetic nephropathy.3,4 Nevertheless, there are still few investigations to report that decreased estimated glomerular filtration rate (eGFR) is associated with cardiac structural changes and dysfunction in diabetic patients.5,6 Meanwhile, previous studies have found that postmenopausal women with type 2 DM had a higher risk of cardiovascular events and mortality than those of diabetic men at the same age.7,8 However, there is still limited information on whether the diabetic nephropathy was involved in cardiac adverse structural changes and dysfunction in the menopausal diabetic women. Therefore, this study explored the relationship between impaired glomerular filtration function and cardiac adverse remodeling in menopausal Chinese women with type 2 DM.

Methods

Patients

At department of endocrinology in our hospital, a total of 1231 naturally menopausal Chinese women with type 2 DM were collected retrospectively by review of medical records during 2014 to 2018 in a cross-sectional study. Type 2 DM was diagnosed if fasting plasma glucose (FPG) ≥7.0 mmol/L and/or oral 75 g glucose post-loaded 2–hour plasma glucose ≥11.1 mmol/L, and the plasma insulin level was normal or increased, or the subjects have been treated with hypoglycemic drugs or lifestyle modifications.9 Normal eGFR is defined as eGFR ≥90 mL/ min per 1.73m2. The degree of declined eGFR is usually used to assess the severity of nephropathy (mild, 60 ≤ eGFR < 90; moderate, 30 ≤ eGFR < 60; and severe, eGFR < 30 mL/min per 1.73m2 respectively).10 Hypertension was confirmed if subjects had average systolic blood pressure (SBP) ≥140 mmHg and/or diastolic blood pressure (DBP) ≥90 mmHg at upper right arm after 10 minutes rest, or received antihypertensive drugs. Coronary heart disease was considered if myocardial infarction evidences on electrocardiograms, or angiography confirmed atherosclerotic stenosis ≥50% in one of coronary artery lumens, or a history of coronary stent implantation were confirmed. Stroke criteria included evidences on computed tomograms or magnetic resonance imaging.11 All patients were examined by color doppler echocardiography. We excluded patients with acute renal insufficiency, glomerulonephritis, autoimmune or infectious nephropathy, rheumatic or degenerative cardiac valvular diseases, congenital heart disease, idiopathic cardiomyopathy, atrial fibrillation, malignant tumors. This study was conducted in accordance with the Declaration of Helsinki and approved by the ethics committee of the First Affiliated Hospital of Chongqing Medical University (No. 2020-305). The ethics committee waived the need for patients’ written informed consent because of anonymous nature of the clinical data acquired retrospectively.

Calculation of Glomerular Filtration Rate and Body Mass Index

Serum creatinine (Scr) >62 μmol/L, eGFR = 144 × (Scr μmol/L÷88.4÷0.7) - 1.209 × 0.993 age; Scr ≤62 μmol/L, eGFR = 144 × (Scr μmol/L÷88.4 ÷0.7) - 0.329 × 0.993 age.10 Body mass index (BMI) = body weight (kg)/(height (m))2.

Determination of Clinical Biochemistry

Glucose was measured by hexokinase. Triglyceride (TG) and total cholesterol (TC) were measured by enzyme colorimetry. High-density lipoprotein cholesterol (HDL-C) was measured by homogeneous enzyme colorimetry. Low-density lipoprotein cholesterol was calculated by TC - HDL-C - (TG/2.19).11

Measurement of Cardiac Structure and Function

Right atrial diameter (RAD), right ventricular diameter (RVD), left atrial diameter (LAD), left ventricular (LV) end-systolic (LVESD) and end-diastolic diameter (LVEDD), interventricular septal thickness (IVST), LV posterior wall thickness (LVPWT), ejection fraction (LVEF), LV peak early (E) and late (A) filling velocities, and E/A reversal prevalence were measured by transthoracic echocardiography using GE vivid7 full digital color doppler ultrasound diagnostic instrument.12

Statistical Analysis

SPSS (statistical package for social science) 22.0 software (IBM Company, Chicago, Illinois 60606, USA) was used for statistical analysis. The categorical data were expressed as percentage (%) and compared by chi square test or Fisher exact test. The continuous data were expressed as mean values ± standard deviation (SD) and evaluated by Mann–Whitney U-test or one-way ANOVA (analysis of variance), followed by post hoc analysis using LSD (least significance difference) test for multiple comparisons between the groups. Pearson univariate linear correlation analysis was used to analyze the data between two variables. Dichotomized variate logistic regression was utilized for data analysis. The values of blood pressure were not included in the regression analysis, as considering that blood pressure was collinear with pulse pressure. A 2-tailed value of P < 0.05 was considered to be statistically significant.

Results

Clinical Characteristics Corresponding with eGFR

Compared with the normal eGFR group, patient’s age, fasting plasma glucose (FPG), prevalence rate of hypertension and SBP were higher in the mildly declined eGFR group (All P < 0.05); Age, prevalence rate of hypertension and DBP were higher in the moderately declined eGFR group (All P < 0.05); Age, FPG, prevalence rate of hypertension, SBP and DBP were higher, while BMI and HDL-C were lower in the severely declined eGFR group (All P < 0.05). Compared with the mildly declined eGFR group, age was older in the moderately declined eGFR group (P < 0.05); BMI was lower, while DBP was higher in the severely declined eGFR group (Both P < 0.05). Compared with the moderately declined eGFR group, DBP was higher in the severely declined eGFR group (P < 0.05). Bivariate correlation analysis showed that eGFR was correlated reversely with FPG, prevalence of hypertension and pulse pressure, while it was correlated positively with BMI and HDL-C (All P < 0.05, Table 1).
Table 1

Comparison of Clinical Characteristics Among eGFR Categorized Groups

ParametersNormal (eGFR≥90) (n=558)Mild (60≤eGFR<90) (n=415)Moderate (30≤eGFR<60) (n=182)Severe (eGFR<30) (n=76)rP
eGFR (mL/min 1.73m2)100.3±6.977.6±8.8*46.6±8.5*†19.6±7.1*†‡1.000<0.001
Age (year)61.7±6.569.1±9.3*70.5±7.4*†71.2±8.4*−0.433<0.001
Menopausal age (year)49.6±3.549.6±4.049.3±3.449.8±3.10.0500.083
Smoking n (%)3(0.5)0(0)0(0)0(0)0.0450.114
Drinking n (%)3(0.5)2(0.5)0(0)0(0)0.0300.291
BMI, kg/m225.1±4.725.0±3.924.6±3.924.0±3.7*†0.0600.036
FPG (mmol/L)8.8±4.19.6±4.7*9.5±5.610.2±4.9*−0.0650.023
Hypertension (n,%)306(54.8)310(74.7)*149(81.9)*60(78.9)*−0.229<0.001
SBP (mmHg)140.0±20.0143.4±20.0*141.6±24.4145.7±24*−0.0760.008
DBP (mmHg)72.1±11.972.8±14.274.3±11.6*77.9±11.0*†‡−0.183<0.001
Pulse pressure (mmHg)62.0±17.469.1±18.1*68.8±21.7*73.5±19.4*−0.201<0.001
Resting HR (beats/min)84.9±12.084.0±13.085.8±14.986.4±14.1−0.0530.063
CHD (n,%)40(7.2)39(9.4)17(9.3)8(10.5)−0.0540.056
Stroke (n,%)23(4.1)36(8.7)14(7.7)4(5.3)−0.0430.131
TG (mmol/L)1.9±2.31.7±1.42.0±1.92.1±1.5−0.0250.396
TC (mmol/L)4.4±1.24.2±1.24.2±1.34.5±1.50.0180.544
HDL-C (mmol/L)1.2±0.41.2±0.31.2±0.41.1±0.4*0.0830.005
LDL-C (mmol/L)2.5±1.12.6±1.02.6±0.92.8±1.3−0.0280.338

Notes: Values presented as mean ± SD or n (%). *p < 0.05 versus normal group; †p < 0.05 versus mild group; ‡p < 0.05 versus moderate group.

Abbreviations: eGFR, estimated glomerular filtration rate; BMI, body mass index; FPG, fast plasma glucose; SBP, systolic blood pressure; DBP, diastolic blood pressure; HR, heart rate; CHD, coronary heart disease; TG, triglyceride; TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.

Comparison of Clinical Characteristics Among eGFR Categorized Groups Notes: Values presented as mean ± SD or n (%). *p < 0.05 versus normal group; †p < 0.05 versus mild group; ‡p < 0.05 versus moderate group. Abbreviations: eGFR, estimated glomerular filtration rate; BMI, body mass index; FPG, fast plasma glucose; SBP, systolic blood pressure; DBP, diastolic blood pressure; HR, heart rate; CHD, coronary heart disease; TG, triglyceride; TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.

Cardiac Remodeling Corresponding with eGFR

Compared with the normal eGFR group, LAD, IVST, LVPWT and LVESD were larger, while LVEF was lower in the mildly declined eGFR group (All P < 0.05); RAD, LAD, IVST, LVPWT and LVESD were larger, while LVEF was lower in the moderately declined eGFR group (All P < 0.05); RAD, RVD, LAD, IVST, LVPWT, LVESD and LVEDD were larger, while LVEF was lower in the severely declined eGFR group (All P < 0.05). Compared with the mildly declined eGFR group, RAD, LAD, IVST and LVPWT were larger, while LVEF was lower in the moderately declined eGFR group (All P < 0.05); RAD, RVD, LAD, IVST, LVPWT, LVESD and LVEDD were larger, while LVEF was lower in the severely declined eGFR group (All P < 0.05); Compared with the moderately declined eGFR group, RVD, LAD, IVST, LVESD and LVEDD were larger, while LVEF was lower in the severely declined eGFR group (All P < 0.05). Bivariate correlation analysis showed that eGFR was correlated reversely with RAD, RVD, LAD, IVST, LVPWT, LVESD and LVEDD, while it correlated positively with LVEF (All P < 0.05, Table 2).
Table 2

Comparison of Echocardiographic Parameters Among eGFR Categorized Groups

ParametersNormal (eGFR≥90) (n=558)Mild (60≤eGFR<90) (n=415)Moderate (30≤eGFR<60) (n=182)Severe (eGFR<30) (n=76)rP
RAD (mm)31.7±2.931.9±3.232.5±3.5*†32.8±3.8*†−0.117<0.001
RVD (mm)18.4±1.918.5±1.618.5±2.119.1±2.1*†‡−0.0700.012
LAD (mm)29.0±3.529.9±3.9*30.6±4.0*†31.9±4.8*†‡−0.214<0.001
IVST (mm)10.4±1.210.7±1.3*11.0±1.3*†11.3±1.4*†‡−0.239<0.001
LVPWT (mm)10.1±1.110.4±1.1*10.7±1.2*†10.9±1.3*†−0.233<0.001
LVESD (mm)29.7±3.430.2±3.2*30.3±3.5*31.8±4.3*†‡−0.147<0.001
LVEDD (mm)46.2±4.146.7±4.046.5±4.547.9±4.7*†‡−0.0880.002
LVEF (%)65.4±4.964.7±4.6*63.7±5.2*†62.3±6.2*†‡0.167<0.001
E/A < 1(n, %)382 (68.5)297 (71.6)136 (74.7)59 (77.6)−0.0580.053

Notes: Values presented as mean ± SD. *p < 0.05 versus normal group; †p < 0.05 versus mild group; ‡p < 0.05 versus moderate group.

Abbreviations: eGFR, estimated glomerular filtration rate (mL/min 1.73m2); RAD, right atrial diameter; RVD, right ventricular diameter; LAD, left atrial diameter; IVST, interventricular septal thickness; LVPWT, left ventricular posterior wall thickness; LVESD, left ventricular end-systolic diameter; LVEDD, left ventricular end-diastolic diameter; LVEF, left ventricular ejection fraction; E/A, peak early (E)/late (A) filling velocities.

Comparison of Echocardiographic Parameters Among eGFR Categorized Groups Notes: Values presented as mean ± SD. *p < 0.05 versus normal group; †p < 0.05 versus mild group; ‡p < 0.05 versus moderate group. Abbreviations: eGFR, estimated glomerular filtration rate (mL/min 1.73m2); RAD, right atrial diameter; RVD, right ventricular diameter; LAD, left atrial diameter; IVST, interventricular septal thickness; LVPWT, left ventricular posterior wall thickness; LVESD, left ventricular end-systolic diameter; LVEDD, left ventricular end-diastolic diameter; LVEF, left ventricular ejection fraction; E/A, peak early (E)/late (A) filling velocities.

Relationship Between eGFR and Cardiac Remodeling

Dichotomized variate regression analysis showed that moderate to severe glomerular filtration dysfunction (eGFR <60 mL/min per 1.73 m2 used as the cut-off point) was associated with enlarged left-side atrioventricular chambers, increased ventricular wall thickness, decreased cardiac function and dilated right ventricle (All P < 0.05, Table 3), after adjustment of patient’s age, BMI, FPG, HDL-C, hypertension and pulse pressure.
Table 3

Regression Analysis of Parameters Associated with eGFR<60

βSEWaldPOR (95% CI)
Age0.0590.01034.935<0.0011.061 (1.040~1.082)
BMI−0.0410.0233.3310.0680.959 (0.918~1.003)
FPG0.0230.0162.6550.1561.023 (0.991~1.056)
Hypertension−0.3560.2132.8060.0940.700 (0.461~1.062)
Pulse pressure0.0030.0040.3620.5471.003 (0.994~1.011)
HDL-C−0.4170.2283.3430.0670.659 (0.422~1.030)
RAD0.0420.0282.3120.1281.043 (0.988~1.102)
RVD−0.1200.0505.7050.0170.887 (0.804~0.979)
LAD0.0570.0264.7950.0291.059 (1.006~1.114)
IVST0.2260.1025.5650.0191.026 (0.841~1.253)
LVPWT0.2640.1155.4080.0201.302 (1.042~1.627)
LVSD−0.2790.1215.2870.0210.757 (0.597~0.960)
LVDD0.1760.0814.7730.0291.192 (1.018~1.396)
LVEF−0.1560.04313.185<0.0010.856 (0.786~0.931)

Abbreviations: eGFR, estimated glomerular filtration rate (mL/min per 1.73m2); β, regression coefficient; SE, standard error; Wald, Chi square value; CI, confidence interval; OR, odds ratio; BMI, body mass index; FPG, fast plasma glucose; HDL-C, high-density lipoprotein cholesterol; RAD, right atrial diameter; RVD, right ventricular diameter; LAD, left atrial diameter; IVST, interventricular septal thickness; LVPWT, left ventricular posterior wall thickness; LVESD, left ventricular end-systolic diameter; LVEDD, left ventricular end-diastolic diameter; LVEF, left ventricular ejection fraction.

Regression Analysis of Parameters Associated with eGFR<60 Abbreviations: eGFR, estimated glomerular filtration rate (mL/min per 1.73m2); β, regression coefficient; SE, standard error; Wald, Chi square value; CI, confidence interval; OR, odds ratio; BMI, body mass index; FPG, fast plasma glucose; HDL-C, high-density lipoprotein cholesterol; RAD, right atrial diameter; RVD, right ventricular diameter; LAD, left atrial diameter; IVST, interventricular septal thickness; LVPWT, left ventricular posterior wall thickness; LVESD, left ventricular end-systolic diameter; LVEDD, left ventricular end-diastolic diameter; LVEF, left ventricular ejection fraction.

Discussion

The present study shows that moderate to severe reduction of glomerular filtration function (eGFR <60 mL/min per 1.73 m2) was found to be associated with enlarged left-side cardiac chambers, increased ventricular wall thickness, decreased cardiac function and dilated right ventricle, after adjustment of patient’s age, BMI, FPG, HDL-C, hypertension and pulse pressure. Glomerular filtration dysfunction is associated with cardiac adverse structural remodeling and dysfunction in menopausal Chinese women with type 2 DM. Diabetes simultaneously affects both the cardiovascular and renal systems.13 Although it is generally believed that kidney disease interplays with cardiovascular disease in type 2 DM,13 the underlying mechanisms for association of glomerular filtration dysfunction with cardiac adverse structural remodeling and dysfunction (renocardiac or type 4 cardiorenal syndrome) in diabetic patients are as follows: Given that there exists insulin resistance in type 2 DM patients, insulin is not able to fully play its normal physiological roles in helping glucose transport into intracellular organelles for utilization. This greatly limits cells to use glucose for its energy supply, leading to extracellular hyperglycemia, while the cells are forced to use fatty acid oxidation for its energy supply. Then, production of reactive oxygen species is increased, which harms glomerular capillary endothelium and basement membrane.2 In addition, hyperglycemia increases formation of advanced glycation end products (AGEs). Through binding its specific receptors on cellular surface and activating intracellular signal pathways, AGEs increase oxygen free radicals, peroxidation stress and inflammatory reactions,2 and leading to glomerular filtration dysfunction and diabetic nephropathy with consequent retention of water and sodium in blood circulation. Furthermore, due to uremic toxins and nephropathy associated dyspepsia, reduced erythropoietin secretion and anemia occur.14 Meanwhile, diabetes-associated atherosclerotic stenosis results in decreased supply of blood flow to the juxtaglomerular apparatus. Consequently, sympathetic nervous and renin angiotensin aldosterone systems are over-activated.15,16 Then, cardiac adverse structural remodeling and dysfunction ensue due to the overload of cardiac volume and pressure, which resulted from diabetic nephropathy.14 Moreover, recent studies have highlighted that arterial inflammation mediated by chronic kidney disease leads to arterial stiffness, which is considered as an important mechanism for the cardiac adverse remodeling in type 2 DM.17 Physiological menopause is a landmark event for women’s aging. Studies have found that menopause increases the risk of cardiovascular mortality in females.18,19 The incidence of type 2 DM is increased abruptly when people enter into old age.20 The cardiovascular events and mortality are more higher in postmenopausal women with type 2 DM than those of diabetic men at the same age.7,8 It suggests that combination of menopause with type 2 DM could greatly increase cardiovascular events and death in postmenopausal diabetic women as compared the women without menopause and type 2 DM.21 The increased cardiovascular events and death in menopausal diabetic women are usually ascribed to diabetes-associated cardiomyopathy and coronary atherosclerotic disease.7,8,21 Nevertheless, previous studies have proved that the increased risk of cardiovascular events and mortality in diabetic patients were ascribed to glomerular filtration dysfunction as well.3,4,22 Several studies reported that reduced eGFR was associated with cardiac structural remodeling and dysfunction in diabetic adults.5,6,23,24 Although, in this study, BMI, FPG, HDL-C, hypertension and pulse pressure (an useful indicator for the assessment of arterial stiffness) were not found to be independently associated with cardiac structural changes and dysfunction in type 2 DM, our present study replenishes that glomerular filtration dysfunction is associated with cardiac adverse structural remodeling and dysfunction in menopausal Chinese women with type 2 DM. Nevertheless, the cardiac LV diastolic dysfunction defined by E/A reversal was not found to be significantly different among eGFR categorized groups. The E/A reversal may not precisely reflect the LV diastolic dysfunction.25 Our results suggest that earlier identification and intervention of glomerular filtration dysfunction may be very important in the prevention from the cardiac adverse structural remodeling and dysfunction in type 2 DM. However, intensive glucose control is not advised in the patient with diabetic nephropathy.26 A major limitation of the present study is that the data was obtained from a cross-sectional study. Although regression analyses were performed, the effects of other possible confounding factors should be taken into consideration. Therefore, large prospective studies would be needed to reconfirm the observed findings. The study was carried on menopause women, its results should be cautiously extrapolated to other populations.

Conclusion

Glomerular filtration dysfunction is associated with cardiac adverse structural remodeling and dysfunction in menopausal Chinese women with type 2 DM, after adjustment of patient’s BMI, FPG, HDL-C, hypertension and pulse pressure.
  26 in total

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Authors:  Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
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Journal:  Cardiol J       Date:  2016-09-26       Impact factor: 2.737

5.  Impact of incident diabetes on atherosclerotic cardiovascular disease according to statin use history among postmenopausal women.

Authors:  Yunsheng Ma; Gioia M Persuitte; Christopher Andrews; Kathleen M Hovey; Michael J LaMonte; Annie L Culver; JoAnn E Manson; Lawrence S Phillips; Simin Liu; Charles Eaton; Lisa W Martin; Barbara V Howard; Raji Balasubramanian; Chloe E Bird; Ira S Ockene; Susan R Sturgeon; Judith K Ockene; Lesley Tinker; Rami Nassir; Jacques Rossouw
Journal:  Eur J Epidemiol       Date:  2016-05-17       Impact factor: 8.082

6.  Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data.

Authors:  Kunihiro Matsushita; Josef Coresh; Yingying Sang; John Chalmers; Caroline Fox; Eliseo Guallar; Tazeen Jafar; Simerjot K Jassal; Gijs W D Landman; Paul Muntner; Paul Roderick; Toshimi Sairenchi; Ben Schöttker; Anoop Shankar; Michael Shlipak; Marcello Tonelli; Jonathan Townend; Arjan van Zuilen; Kazumasa Yamagishi; Kentaro Yamashita; Ron Gansevoort; Mark Sarnak; David G Warnock; Mark Woodward; Johan Ärnlöv
Journal:  Lancet Diabetes Endocrinol       Date:  2015-05-28       Impact factor: 32.069

7.  Left ventricular hypertrophy and geometry in type 2 diabetes patients with chronic kidney disease. An echocardiographic study.

Authors:  M P Bayauli; F B Lepira; P K Kayembe; J R M'buyamba-Kabangu
Journal:  Cardiovasc J Afr       Date:  2012-03       Impact factor: 1.167

8.  Type 2 diabetes mellitus-related changes in left ventricular structure and function in patients with chronic kidney disease.

Authors:  Pei-Yu Wu; Jiun-Chi Huang; Szu-Chia Chen; Ling-I Chen
Journal:  Oncotarget       Date:  2018-02-13

9.  Diabetes mellitus: a single cardiorenal syndrome umbrella.

Authors:  Eva Rodríguez; Carlos Arias-Cabrales; Julio Pascual
Journal:  Clin Kidney J       Date:  2019-11-26

10.  Glomerular Filtration Rate and Associated Risks of Cardiovascular Events, Mortality, and Severe Hypoglycemia in Patients with Type 2 Diabetes: Secondary Analysis (DEVOTE 11).

Authors:  Aslam Amod; John B Buse; Darren K McGuire; Thomas R Pieber; Rodica Pop-Busui; Richard E Pratley; Bernard Zinman; Marco Bo Hansen; Ting Jia; Thomas Mark; Neil R Poulter
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