Abstract
Post-transplant diabetes mellitus (PTDM) is a frequent complication post-heart transplantation (HT), however long-term prevalence studies are missing. The aim of this study was to determine the prevalence and determinants of PTDM as well as prediabetes long-term post-HT using oral glucose tolerance tests (OGTT). Also, the additional value of OGTT compared to fasting glucose and glycated hemoglobin (HbA1c) was investigated. All patients > 1Ā year post-HT seen at the outpatient clinic between August 2018 and April 2021 were screened with an OGTT. Patients with known diabetes, an active infection/rejection/malignancy or patients unwilling or unable to undergo OGTT were excluded. In total, 263 patients were screened, 108 were excluded. The included 155 patients had a median age of 54.3 [42.2ā64.3]Ā years, and 63 (41%) were female. Median time since HT was 8.5 [4.8ā14.5]Ā years. Overall, 51 (33%) had a normal range, 85 (55%) had a prediabetes range and 19 (12%) had a PTDM range test. OGTT identified prediabetes and PTDM in more patients (18% and 50%, respectively), than fasting glucose levels and HbA1c. Age at HT (OR 1.03 (1.00ā1.06), p = 0.044) was a significant determinant of an abnormal OGTT. Prediabetes as well as PTDM are frequently seen long-term post-HT. OGTT is the preferred screening method.
Graphical Abstract

Introduction
Type 2 diabetes mellitus is an increasing problem worldwide, leading to reduced life expectancy and increased risk for cardiovascular complications (1ā3). Prediabetes is an intermediate metabolic state between normal glucose tolerance and diabetes mellitus, with a growing prevalence worldwide as well (over 45% when aged 65Ā years or more) (4, 5). Patients with prediabetes have an increased risk (of up to 70%) of developing type 2 diabetes mellitus; both leading to an increased risk of cardiovascular morbidity and mortality, in the general population as well as in patients with manifest atherosclerotic disease (6ā9).
In solid-organ transplant recipients, the incidences of post-transplant diabetes mellitus (PTDM) are high, varying between 10 and 40% depending on the transplanted organ and definitions used (10ā15, 17). Risk factors for the development of PTDM include general cardiovascular risk factors (such as body mass index, age and family history) as well as transplant-related causes (such as immunosuppressive regimen, viral infections) (10). The incidence of PTDM 5Ā years post-heart transplantation (HT) reported by the registry of the International Society for Heart and Lung Transplantation (ISHLT) is 34% (16). Unfortunately, information after 5Ā years is lacking in this registry. Currently, no other studies have been performed determining the prevalence of PTDM after 5Ā years in HT recipients.
Recently, data from the ISHLT registry showed that PTDM was associated with an increased risk for severe renal dysfunction, retransplantation and death (17). This warrants an early recognition of the disease in order to modify risk factors to decrease the risk for these worse outcomes. Moreover, in HT recipients, only one small study has been published that demonstrated no difference in outcomes between patients with prediabetes and diabetes in the year pre-HT (18). Studies on prevalence and outcomes of prediabetes post-HT are missing.
Previous studies in the general population have shown the added value of the oral glucose tolerance test (OGTT) to fasting glucose levels and glycated hemoglobin (HbA1c) for identifying patients with (pre)diabetes, with a significant number of patients being missed without the OGTT (19, 20). Therefore, in transplant patients, adding an OGTT is preferred in patients who are stable on immunosuppressive regimen to make a diagnosis of (pre)diabetes according to the American Diabetes Association (ADA) guidelines (4). In the guidelines of the ISHLT it is advised to periodically screen for PTDM after HT by fasting glucose levels or OGTT and HbA1c levels (21). However, studies on the added value of an OGTT compared to fasting glucose and HbA1c in HT recipients are missing.
In the current study, we investigated the prevalence of prediabetes and diabetes mellitus long-term post-HT and determinants for an abnormal OGTT long-term post-HT. Additionally, the added value of an OGTT compared to a fasting glucose and HbA1c is investigated.
Patients and Methods
Study Population
In this cross-sectional study, all adult HT patients who were more than 1Ā year post-HT that were seen at our outpatient clinic between August 2018 and April 2021 were screened to undergo an OGTT. Patients with known diabetes, an active infection/rejection treatment, patients who were treated for a malignancy and patients unwilling or unable to undergo OGTT were excluded. Information on immunosuppressive regimen has been published before (22). This study was conducted according to the Declaration of Helsinki and was approved by the Erasmus MC Ethics committee (MEC-2017-421).
Oral Glucose Tolerance Test
The OGTT was performed according to the guidelines of de American Diabetes Association (ADA) (4). A fasting glucose level and HbA1c were measured at the outpatient clinic after which 75Ā g of glucose in a 200Ā ml solution was administered. After 2Ā hours a second glucose measurement was performed. Glucose measurements were performed using a finger prick (Accu-Check Ā® Inform II, Roche) while HbA1c was measured in normal blood draws. In case a patient was unable to undergo an OGTT at the outpatient clinic due to the travel distance to the hospital, the OGTT was performed by the patientās general practitioner with strict instructions.
Definitions
Transient hyperglycemia was defined as a patient needing insulin because of hyperglycemia in the first days post-operatively up until 45Ā days, based on the consensus document published by Sharif et al. (23). Patients still needing glucose-lowering drugs (oral or subcutaneous) after 45Ā days post-HT or developing PTDM during follow-up but who became normoglycemic without any glucose-lowering drugs during follow-up were labeled as recovered PTDM, as described in earlier studies (11). Cytomegalovirus (CMV) infection was defined as a patient with symptoms that were related to CMV replication.
The definitions for the results of the OGTTs were according to the ADA guidelines (4), which are demonstrated in Supplementary Table S1. When a patient had a test result in the diabetic range, a confirmation test was repeated after 6Ā weeks. When a patient had both an increased HbA1c level within the diabetes range as well as an increased fasting glucose within the diabetes range at the outpatient clinic, diabetes was diagnosed.
Statistical Analysis
Normality of distribution was tested using the Shapiro-Wilks test. Continuous variables were expressed with a mean ± standard deviation (SD) when normally distributed and compared with a student t-test or one-way ANOVA depending on the number of groups. If the data were not normally distributed a median was presented with the 25thā75th percentile (Interquartile range, IQR) and compared using a Mann-Whitney or Kruskal Wallis test. Categorical variables were demonstrated as numbers with percentages (%) and compared with a Chi square or Fisherās exact test where appropriate. To determine risk factors for an abnormal test result from OGTT (PTDM and prediabetes range tests) a binary logistic regression analysis was performed. First, an univariable analysis was performed including the sex of the recipient and the recipient age at the time of the HT. In order to not overfit the analysis, a propensity score was created which included variables that have been linked to PTDM in the literature. These variables included: ethnicity, time between heart transplantation and OGTT, heart failure etiology, transient hyperglycemia, resolved PTDM, number of rejections (patients with more than 3 rejections included into one group), cytomegalovirus disease, body mass index at time of OGTT, tacrolimus use at time of OGTT, and prednisolone use at time of OGTT. In a multivariable analysis, age, recipient sex and the propensity score were included. Additionally, an ordinal regression analysis was performed. In this analysis, age and a propensity score including all previously mentioned variables and recipient gender were included. A p-value < 0.05 was considered as statistically significant. The data were analyzed with IBM SPSS statistics 25 (IBM Corp., New Orchard Road, Amonk, NY10504, United States).
Results
Study Population
In total, 263 patients were screened at the outpatient clinic of whom 96 (37%) were female. The median age at HT was 47.1 [32.5ā55.0]Ā years old. The etiology of heart failure pre-HT was ischemic cardiomyopathy in 27% of patients; 17% had a left ventricular assist device pre-HT. During the admission directly after HT, 115 (44%) developed transient hyperglycemia. Reversed PTDM was seen in 37 (14%) patients, while 71 (27%) patients had known diabetes mellitus. Other baseline characteristics are demonstrated in Table 1. Of the 263 patients, 108 were excluded for OGTT after screening (Figure 1) based on the following exclusion criteria: known diabetes mellitus in 71 (66%) patients (of whom 20% developed diabetes pre-HT and 45% post-HT), 35 (32%) patients who were unable or unwilling to undergo OGTT (of whom six died before an OGTT was performed), and two (2%) patients underwent treatment for an active malignancy.
TABLE 1
Parameters | Whole Cohort | Patient Not Undergoing OGTT | Patients Undergoing OGTT | p-value |
---|---|---|---|---|
Number of patients | 263 | 108 | 155 | |
Female | 96 (37) | 33 (31) | 63 (41) | 0.10 |
Ethnicity | 0.25 | |||
āCaucasian | 227 (86) | 89 (82) | 138 (89) | |
āBlack | 8 (3) | 5 (5) | 3 (2) | |
āOther | 28 (11) | 14 (13) | 14 (9) | |
Age at HT (years) | 47.1 [32.5ā55.0] | 48.7 [38.1ā56.8] | 46.2 [26.1ā53.6] | 0.047 |
Age at OGTT (years) | 54.3 [42.2ā64.3] | |||
Time HTāOGTT (years) | 8.5 [4.8ā14.5] | |||
Etiology heart failure | 0.001 | |||
āIschemic CMP | 70 (27) | 40 (37) | 30 (19) | |
āNon-ischemic CMP | 193 (73) | 68 (63) | 125 (81) | |
LVAD pre-HT | 45 (17) | 11 (10) | 34 (22) | 0.01 |
BMI at HT | 23.1 ± 4.5 | 24.0 ± 4.9 | 22.4 ± 4.1 | 0.006 |
BMI at OGTT | 25.8 [23.7ā27.7] | |||
Prednisolone use 1 year post-HT | 236 (90) | 102 (94) | 134 (87) | 0.03 |
Medication at OGTT | ||||
āTacrolimus | 140 (90) | |||
āCiclosporin | 15 (10) | |||
āMycophenolate mofetil | 65 (42) | |||
āEverolimus | 27 (17) | |||
āPrednisolone | 93 (60) | |||
āPrednisolone dosage (mg) | 5.0 [5.0ā7.5] | |||
Glycemic status | ||||
āTransient hyperglycemia post-HT | 115 (44) | 31 (29) | 84 (54) | <0.001 |
āReversed PTDM post-HT | 37 (14) | 7 (6) | 30 (19) | 0.003 |
āKnown DM at OGTT | 71 (27) | 71 (66) | 0 (0) | <0.001 |
āDM pre-HT | 22 (8) | 22 (20) | 0 (0) | |
āDM post-HT | 49 (19) | 49 (45) | 0 (0) | |
āRejectionsa | 1 [0ā2] | 1 [0ā2] | 1 [0ā2] | 0.007 |
āCMV infection | 53 (20) | 19 (18) | 34 (22) | 0.39 |
Baseline characteristics all screened patients and divided into groups (patient who underwent oral glucose tolerance test versus those who did not).
Number of rejections treated with methylprednisolone.
Baseline characteristics of all patients and those who underwent oral glucose tolerance test (including patients in whom the diagnosis was determined based on fasting glucose and HbA1c). Continuous variables are demonstrated with mean ± standard deviation when normally distributed and median with [25thā75th percentile] when not normally distributed. Categorical variables are demonstrated with numbers and (%).
Abbreviations: BMI, body mass index; CMP, cardiomyopathy; CMV, cytomegalovirus; DM, diabetes mellitus; HT, heart transplantation; LVAD, left ventricular assist device; OGTT, oral glucose tolerance test.
FIGURE 1

Results screening and oral glucose tolerance test. Results of screening and oral glucose tolerance test for all patients (n = 263). Of the 35 patients unwilling/unable to undergo oral glucose tolerance test, six (17%) died before a test could be performed. Abbreviations: DM, diabetes mellitus; HbA1c, glycated hemoglobin; OGTT, oral glucose tolerance test.
Oral Glucose Tolerance Test
In 148 out of 155 patients an OGTT was performed since in seven patients PTDM could be diagnosed based on solely the fasting glucose level in combination with the HbA1c (Figure 1). Baseline characteristics are demonstrated in Table 1. Forty-one percent were female and the most common ethnicity was Caucasian (89%). The median age at the time of the OGTT was 54.3 [42.2ā64.3]Ā years old and patients were 8.5 [4.8ā14.5]Ā years post-HT. Median BMI was 25.8 [23.7ā27.7]Ā kg/m2 and transient hyperglycemia and reversed PTDM were seen in 54% and 19%, respectively.
When including the results after 6Ā weeks to confirm (when needed) the diagnosis of PTDM, based on OGTT 51 (34%) of patients had a normal glucose tolerance, 85 (57%) had a prediabetes range test and 12 (8%) had a PTDM range test. Together with the 7 patients in whom the diagnosis was confirmed using fasting glucose and HbA1c, 51/155 (33%) had a normal range test, 85/155 (55%) had a prediabetes range test and 19/155 (12%) of patients had a diabetes range test during the study period. The baseline characteristics of the patients undergoing OGTT (n = 155) stratified by OGTT result are demonstrated in Table 2.
TABLE 2
Results OGTT | ||||
---|---|---|---|---|
Parameters | Normal Range | Prediabetes | PTDM | p-value |
Number of patients | 51 | 85 | 19 | |
Female | 26 (51) | 30 (35) | 7 (37) | 0.18 |
Ethnicity | 0.28 | |||
āCaucasian | 47 (92) | 73 (86) | 18 (95) | |
āBlack | 2 (4) | 1 (1) | 0 (0) | |
āOther | 2 (4) | 11 (13) | 1 (5) | |
Age at HT (years) | 38.7 [22.2ā52.1] | 49.3 [33.9ā55.1] | 45.6 [25.4ā50.8] | 0.08 |
Age at OGTT (years) | 49.7 [30.4ā56.7] | 57.7 [46.9ā66.1] | 54.8 [42.0ā65.4] | 0.019 |
Time HTāOGTT (years) | 8.4 [3.5ā11.8] | 8.5 [5.1ā15.0] | 11.5 [5.2ā19.1] | 0.13 |
Etiology heart failure | 0.23 | |||
āIschemic CMP | 6 (12) | 19 (22) | 5 (26) | |
āNon-ischemic CMP | 45 (88) | 66 (78) | 14 (74) | |
LVAD pre-HT | 12 (24) | 18 (21) | 3 (16) | 0.78 |
BMI at HT | 22.3 ± 4.7 | 22.4 ± 3.6 | 22.9 ± 4.4 | 0.85 |
BMI at OGTT | 25.1 [23.3ā27.1] | 25.9 [24.1ā27.6] | 26.7 [23.0ā30.6] | 0.56 |
Prednisolone use 1 year post-HT | 42 (82) | 75 (88) | 17 (89) | 0.74 |
Medication at OGTT | ||||
āTacrolimus | 49 (96) | 75 (88) | 16 (84) | 0.21 |
āCiclosporin | 2 (4) | 10 (12) | 3 (16) | 0.21 |
āMycophenolate mofetil | 23 (45) | 35 (41) | 7 (37) | 0.81 |
āEverolimus | 6 (12) | 19 (22) | 2 (11) | 0.20 |
āPrednisolone | 27 (53) | 50 (59) | 16 (84) | 0.056 |
āPrednisolone dosage (mg) | 5 [5ā7.5] | 5 [5ā7.5] | 7.5 [5ā10] | 0.20 |
Glycemic status | ||||
āTransient hyperglycemia post-HT | 32 (63) | 46 (54) | 6 (32) | 0.054 |
āReversed PTDM | 6 (12) | 17 (20) | 7 (37) | 0.07 |
āRejectionsa | 1 [0ā1] | 1 [0ā2] | 1 [0ā2] | 0.18 |
āCMV infection | 10 (20) | 20 (24) | 4 (21) | 0.86 |
Baseline characteristics based on oral glucose tolerance test result.
Number of rejections treated with methylprednisolone.
Baseline characteristics of all patients and those who underwent oral glucose tolerance test (including patients in whom the diagnosis was determined based on fasting glucose and HbA1c). Continuous variables are demonstrated with mean ± standard deviation when normally distributed and median with [25thā75th percentile] when not normally distributed. Categorical variables are demonstrated with numbers and (%).
Abbreviations: BMI, body mass index; CMP, cardiomyopathy; CMV, cytomegalovirus; DM, diabetes mellitus; HT, heart transplantation; LVAD, left ventricular assist device; OGTT, oral glucose tolerance test; PTDM, post-transplant diabetes mellitus.
In total, 40 patients (27%) were within 5Ā years post-HT and 108 (73%) were more than 5Ā years post-HT. When the results of the OGTTs were stratified according to the time post-transplant, no significant differences were seen in the results (p = 0.33) as is demonstrated in Supplementary Table S2.
Additional Value of Oral Glucose Tolerance Test
For the patients who underwent an OGTT, the results of each component of the OGTT (fasting glucose, 2Ā h postload glucose, and HbA1c) are demonstrated in Figure 2. Based on the OGTT data, 123 (83%) of the patients with (a combination of) only a fasting serum glucose test and an HbA1c measurement would have been be correctly classified. Of the remaining 25 (17%) patients who were not correctly classified, 14 (56%) had prediabetes and 11 (44%) diabetes. When including the results of the repeated OGTT after 6Ā weeks (confirming the PTDM diagnosis), 127 (86%) would have been classified correctly, while 21 (14%) would not. Of the patients who were not correctly classified, 15 (71%) had prediabetes and 6 (29%) PTDM. When looking at all patients with prediabetes range results, 15 (18%) of patients would have been missed without an OGTT. In diabetes range patients this would have been the case in 6 (50%) of the cases.
FIGURE 2

Results of oral glucose tolerance test specified by detection method, combination of all the results and with confirmation test after 6Ā weeks. Abbreviations: HbA1c, glycated hemoglobin; OGTT, oral glucose tolerance test; PLG, postload glucose.
Determinants of Abnormal Oral Glucose Tolerance Test
In order to define determinants for an abnormal OGTT, patients with a prediabetes and PTDM range test were combined. Univariable analysis demonstrated that age at HT (OR 1.02 (1.00ā1.04), p = 0.036) was a significant determinant of an abnormal test, while recipient gender was not (OR 0.53 (0.27ā1.05), p = 0.07) (Table 3). When both recipient age, recipient gender and the propensity score were included in one model, age at HT was still a significant determinant (OR 1.03 (1.00ā1.06), p = 0.044). In ordinal regression analysis, this association between recipient age at HT and OGTT outcome was confirmed (OR 1.03 (1.00ā1.05), p = 0.044) (Table 4).
TABLE 3
Abnormal OGTT Result | |||
---|---|---|---|
OR (95% CI) | |||
Univariable | Model 1 | Model 2 | |
Age recipient at HT | 1.02 (1.00ā1.04) | 1.02 (1.00ā1.04) | 1.03 (1.00ā1.06) |
P-value | 0.036 | 0.07 | 0.044 |
Female recipient | 0.53 (0.27ā1.05) | 0.59 (0.29ā1.18) | 0.60 (0.28ā1.31) |
P-value | 0.07 | 0.14 | 0.20 |
Logistic regression analysis investigating determinants of an abnormal oral glucose tolerance test result (prediabetes or diabetes range test).
Univariable analysis of recipient sex and recipient age at heart transplantation individually in the model.
Model 1: Model including sex and age at the time of the heart transplantation of the recipient.
Model 2: Model including sex and age adjusted for the propensity score which included the following parameters: ethnicity, time between heart transplantation and CT scan, heart failure etiology, transient hyperglycemia, resolved PTDM, number of rejections*, cytomegalovirus disease, body mass index at time of OGTT, tacrolimus use at time of OGTT, and prednisolone use at time of OGTT. *Patients with 3 or more rejections were combined into one group due to the small number of patients.
Abbreviations: CI, confidence interval; HT, heart transplantation; OGTT, oral glucose tolerance test; OR, odds ratio.
TABLE 4
Abnormal OGTT result | ||
---|---|---|
OR (95% CI) | ||
Model 1 | Model 2 | |
Age recipient at HT | 1.02 (1.00ā1.04) | 1.03 (1.00ā1.05) |
P-value | 0.023 | 0.044 |
Ordinal regression analysis investigating determinants of the oral glucose tolerance test results.
Model 1: unadjusted
Model 2: Model including age adjusted for the propensity score which included the following parameters: recipient sex, ethnicity, time between heart transplantation and CT scan, heart failure etiology, transient hyperglycemia, resolved PTDM, number of rejections*, cytomegalovirus disease, body mass index at time of OGTT, tacrolimus use at time of OGTT, and prednisolone use at time of OGTT.
*Patients with 3 or more rejections were combined into one group due to the small number of patients. Abbreviations: CI, confidence interval; HT, heart transplantation; OGTT, oral glucose tolerance test; OR, odds ratio.
Discussion
This study shows that impaired glucose metabolism is highly prevalent in patients long term post-HT. Based on OGTT, 104 of 155 patients without known PTDM (67%) had an abnormal test of whom 85 (55%) had a prediabetes range test, while 19 (12%) had a PTDM range test. When stratified by time since HT (⤠or > 5 years), there was no difference in the test results (p = 0.33). An OGTT demonstrated 18% more prediabetes and 50% more PTDM compared to a fasting glucose level and HbA1c only. Age at HT was significantly associated with the result of the OGTT.
This is the first study investigating the long-term prevalence of prediabetes and diabetes in HT recipients. In the registry from the ISHLT, diabetes mellitus is monitored up until 5Ā years post-HT, where diabetes status is reported in accordance with the clinical diagnostic guidance in place at the reporting transplant center (16). The incidence of diabetes mellitus at 5Ā years in the registry between 1995 and 2017 was 33.8%, which is higher than what was seen in our population before we performed the OGTT (27%) (16). Even though our patients were regularly seen at the outpatient clinic, 12% of patients had a PTDM range test when using the OGTT. Overall, this increased the total number of patients with PTDM from 27% to 34%, a relative increase of 26%. This demonstrates that a high percentage of patients have unnoticed PTDM despite regular blood test for abnormal glucose metabolism (mostly by assessment of non-fasting glucose levels). This is emphasized by our analysis on the added value of the OGTT compared to a fasting glucose and HbA1c. By performing an OGTT, prediabetes and PTDM were diagnosed in 18% and 50% more patients, respectively. To our knowledge, this is the first study demonstrating this significant advantage in heart transplantation recipients. Ussif et al. investigated kidney transplant recipients who underwent OGTT 1Ā year post-transplant (24). In this study, an OGTT only identified two patients who would have been missed compared to a combination of fasting glucose and HbA1c (24). This could be due to the difference in the timing of the OGTT, or a significant change in metabolism (given the other comorbidities that patients develop over time) in heart transplant recipients (16). However, our study illustrates that regular testing of the glycemic status through OGTT is warranted in (heart) transplant patients as is recommended by the American Diabetes Association (4).
In our study, a total of 55% of patients had a prediabetes range test. It is essential to monitor the glucose metabolism closely in this patient population because of their high cardiovascular risk profile and highly prevalent risk factors such as hypertension, dyslipidemia, renal dysfunction but also the chronic use of steroids (25). When these patients also have PTDM, the cardiovascular risk significantly further increases (17). Whether this is also applicable in HT patients with prediabetes needs to be further investigated. Studies in non-transplant patients have demonstrated that individuals with prediabetes have a significantly increased risk to develop diabetes mellitus as well as cardiovascular morbidity and mortality (6, 7). Moreover, in a recent study in kidney transplant recipients, patients with prediabetes had similar risks for cardiovascular mortality as patients with PTDM (26). This demonstrates that patients with prediabetes should be monitored carefully and diagnosed early. As impaired glucose metabolism is a modifiable risk factor, the question remains whether an intervention will result in the reduction of cardiovascular events. Unfortunately, currently, no studies have been performed in HT recipients. Only one study showed that patients with prediabetes pre-HT had no increased risk of mortality after a median of 50Ā months post-HT (18). This study only used HbA1c levels to determine whether a patient had prediabetes, which could underestimate the true number of patients with prediabetes. Overall, the question remains whether patients who develop prediabetes post-HT have an accelerated progression of cardiac allograft vasculopathy (CAV) and/or an increased risk of micro- or macrovascular complications and mortality.
Age at HT was a significant determinant for an abnormal OGTT. Unfortunately, we were not able to include other determinants of PTDM in the analysis due to the relatively small study population, such as immunosuppressive regimen (prednisolone, tacrolimus), rejections, and CMV infection (10, 17). However, in univariable analysis, these factors were not associated with worse outcomes. There are several reasons for this. First of all, in patients who are more than 1Ā year post-HT, the significance of risk factors such as rejections probably become less important in the development of PTDM, especially since most rejections occur in the first year post-HT (16) and steroid use is tapered after the first year as is seen in our study. In univariable analysis, prednisolone use during OGTT was not associated with the OGTT outcome. Even though prednisolone is a risk factor for PTDM (10), one study in kidney transplant recipients demonstrated that patients who use prednisolone in a daily dosage of 5Ā mg or lower had no improvement in insulin sensitivity (assessed with glucose clamp technique) (27). This was confirmed by a Cochrane review including kidney transplant recipients which demonstrated that withdrawal of steroids did not decrease the risk on PTDM (28). Moreover, withdrawal of prednisolone increased the risk for acute rejection (28). In our opinion, prednisolone withdrawal should only be performed in patients who have a low risk for the development of an acute rejection episode and for other reasons than PTDM prevention. In other patients, steroids could be used with a daily dosage of 5Ā mg in order to reduce PTDM risk as much as possible. When patients do develop diabetes, the newer drugs to treat diabetes are of special interest since these drugs have cardio-renal-metabolic effects (i.e., sodium-glucose cotransporter-2 (SGLT2) inhibitors or glucagon-like peptide 1 (GLP1) analogues) (29,30).
Our study has several limitations. First of all, this is a single-center study which comes with all its limitations such as generalizability. In our study population, around 10% of patients were unable or unwilling to undergo OGTT which could increase the risk for selection bias. Ultimately, this could mean that the numbers in our study underestimate the frequency of prediabetes and PTDM long-term post-HT. Furthermore, most patients in our population were Caucasian which makes it difficult to extrapolate our study results to populations consisting of other ethnicities.
In conclusion, our study demonstrated that both prediabetes and PTDM are frequently observed in patients not known with PTDM long-term post-HT. Age at HT was a determinant for an abnormal OGTT. OGTT is the preferred test to screen for prediabetes and PTDM since it identifies significantly more patients than (fasting) glucose and HbA1c levels alone. Future studies are needed to investigate the impact of prediabetes and PTDM diagnosed long-term post-HT on transplant-related outcomes as well as future cardiovascular complications in this high-risk population. Furthermore, studies are needed to investigate the effects of glucose-lowering interventions (with lifestyle and/or medication) on progression of prediabetes to PTDM and prevention of (cardiovascular) complications.
Statements
Data availability statement
The datasets presented in this article are not readily available due to privacy reasons. Reasonable requests to access the datasets should be directed to o.manintveld@erasmusmc.nl.
Ethics statement
This study involving human participants were reviewed and approved by Erasmus MC Ethics committee. The patients/participants provided their written informed consent to participate in this study.
Author contributions
SR participated in conception and design of the research, in the acquisition of the data, the statistical analysis, drafting the manuscript and critical revision of the final version of the manuscript. MG-S participated in conception and design of the research, in the acquisition of the data, drafting the manuscript and critical revision of the final version of the manuscript. JK participated in conception and design of the research, drafting the manuscript and critical revision of the final version of the manuscript. AC participated in the acquisition of the data, drafting the manuscript and critical revision of the final version of the manuscript. YT participated in drafting the manuscript and critical revision of the final version of the manuscript. FZ supervision, drafting the manuscript and critical revision of the final version of the manuscript AZ participated in conception and design of the research, supervision, drafting the manuscript and critical revision of the final version of the manuscript. OM participated in conception and design of the research, in the acquisition of the data, supervision, drafting the manuscript and critical revision of the final version of the manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontierspartnerships.org/articles/10.3389/ti.2022.10113/full#supplementary-material
Abbreviations
ADA, American Diabetes Association; BMI, body mass index; CAV, cardiac allograft vasculopathy; CMV, cytomegalovirus; HbA1c, glycated hemoglobin; HT, heart transplantation; ISHLT, International Society for Heart and Lung Transplantation; LVAD, left ventricular assist device; OGTT, oral glucose tolerance test; OR, odds ratio; PTDM, post-transplantation diabetes mellitus.
References
1.
Zheng Y Ley SH Hu FB . Global Aetiology and Epidemiology of Type 2 Diabetes Mellitus and its Complications. Nat Rev Endocrinol (2018) 14:88ā98. 10.1038/nrendo.2017.151
2.
Collaboration NCDRF . Worldwide Trends in Diabetes since 1980: a Pooled Analysis of 751 Population-Based Studies with 4.4 Million Participants. Lancet (2016) 387:1513ā30. 10.1016/S0140-6736(16)00618-8
3.
Global Burden of Metabolic Risk Factors for Chronic Diseases C . Cardiovascular Disease, Chronic Kidney Disease, and Diabetes Mortality burden of Cardiometabolic Risk Factors from 1980 to 2010: a Comparative Risk Assessment. Lancet Diabetes Endocrinol (2014) 2:634ā47. 10.1016/S2213-8587(14)70102-0
4.
American Diabetes A . 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2019. Diabetes Care (2019) 42:S13āS28. 10.2337/dc19-S002
5.
Menke A Casagrande S Geiss L Cowie CC . Prevalence of and Trends in Diabetes Among Adults in the United States, 1988-2012. Jama (2015) 314:1021ā9. 10.1001/jama.2015.10029
6.
Cai X Zhang Y Li M Wu JH Mai L Li J et al Association between Prediabetes and Risk of All Cause Mortality and Cardiovascular Disease: Updated Meta-Analysis. Bmj (2020) 370:m2297. 10.1136/bmj.m2297
7.
Ford ES Zhao G Li C . Pre-Diabetes and the Risk for Cardiovascular Disease. J Am Coll Cardiol (2010) 55:1310ā7. 10.1016/j.jacc.2009.10.060
8.
Buysschaert M Bergman M . Definition of Prediabetes. Med Clin North America (2011) 95:289ā97. 10.1016/j.mcna.2010.11.002
9.
Milman S Crandall JP , Mechanisms of Vascular Complications in Prediabetes. Med Clin North America (2011) 95:309ā25. 10.1016/j.mcna.2010.11.004
10.
Jenssen T Hartmann A . Post-transplant Diabetes Mellitus in Patients with Solid Organ Transplants. Nat Rev Endocrinol (2019) 15:172ā88. 10.1038/s41574-018-0137-7
11.
Cho MS Choi H-I Kim I-O Jung S-H Yun T-J Lee J-W et al The Clinical Course and Outcomes of post-transplantation Diabetes Mellitus after Heart Transplantation. J Korean Med Sci (2012) 27:1460ā7. 10.3346/jkms.2012.27.12.1460
12.
Kim HJ Jung S-H Kim J-J Yun T-J Kim JB Choo SJ et al New-Onset Diabetes Mellitus after Heart Transplantation ā Incidence, Risk Factors and Impact on Clinical Outcome ā. Circ J (2017) 81:806ā14. 10.1253/circj.cj-16-0963
13.
Nieuwenhuis MG Kirkels JH . Predictability and Other Aspects of post-transplant Diabetes Mellitus in Heart Transplant Recipients. J Heart Lung Transplant (2001) 20:703ā8. 10.1016/s1053-2498(01)00257-1
14.
Hackman KL Snell GI Bach LA . Prevalence and Predictors of Diabetes after Lung Transplantation: a Prospective, Longitudinal Study. Diabetes Care (2014) 37:2919ā25. 10.2337/dc14-0663
15.
Stepanova M Henry L Garg R Kalwaney S Saab S Younossi Z . Risk of De Novo post-transplant Type 2 Diabetes in Patients Undergoing Liver Transplant for Non-alcoholic Steatohepatitis. BMC Gastroenterol (2015) 15:175. 10.1186/s12876-015-0407-y
16.
Khush KK Cherikh WS Chambers DC Harhay MO Hayes D Hsich E et al The International Thoracic Organ Transplant Registry of the International Society for Heart and Lung Transplantation: Thirty-Sixth Adult Heart Transplantation Report - 2019; Focus Theme: Donor and Recipient Size Match. J Heart Lung Transplant (2019) 38:1056ā66. 10.1016/j.healun.2019.08.004
17.
Vest AR Cherikh WS Noreen SM Stehlik J Khush KK . New-onset Diabetes Mellitus after Adult Heart Transplantation and the Risk of Renal Dysfunction or Mortality. Transplantation (2022) 106:178ā87. 10.1097/tp.0000000000003647
18.
Chamarthi B Zafrir B Plutzky J Givertz MM . Impact of Pre-diabetes on Heart Transplant Outcomes in Patients with Advanced Heart Failure. J Heart Lung Transplant (2014) 33:215ā7. 10.1016/j.healun.2013.10.018
19.
Fonville S Zandbergen AAM Vermeer SE Dippel DWJ Koudstaal PJ den Hertog HM . Prevalence of Prediabetes and Newly Diagnosed Diabetes in Patients with a Transient Ischemic Attack or Stroke. Cerebrovasc Dis (2013) 36:283ā9. 10.1159/000353677
20.
Ferrannini G De Bacquer D De Backer G Kotseva K Mellbin L Wood D et al Screening for Glucose Perturbations and Risk Factor Management in Dysglycemic Patients with Coronary Artery Disease-A Persistent Challenge in Need of Substantial Improvement: A Report from ESC EORP EUROASPIRE V. Diabetes Care (2020) 43:726ā33. 10.2337/dc19-2165
21.
Costanzo MR Dipchand A Starling R Anderson A Chan M Desai S et al The International Society of Heart and Lung Transplantation Guidelines for the Care of Heart Transplant Recipients. J Heart Lung Transpl (2010) 29:914ā56. 10.1016/j.healun.2010.05.034
22.
Zijlstra LE Constantinescu AA Manintveld O Birim O Hesselink DA van Thiel R et al Improved Long-Term Survival in Dutch Heart Transplant Patients Despite Increasing Donor Age: the Rotterdam Experience. Transpl Int (2015) 28:962ā71. 10.1111/tri.12503
23.
Sharif A Hecking M de Vries APJ Porrini E Hornum M Rasoul-Rockenschaub S et al Proceedings from an International Consensus Meeting on Posttransplantation Diabetes Mellitus: Recommendations and Future Directions. Am J Transpl (2014) 14:1992ā2000. 10.1111/ajt.12850
24.
Ussif AM Ć sberg A Halden TAS Nordheim E Hartmann A Jenssen T . Validation of Diagnostic Utility of Fasting Plasma Glucose and HbA1c in Stable Renal Transplant Recipients One Year after Transplantation. BMC Nephrol (2019) 20:12. 10.1186/s12882-018-1171-3
25.
Lund LH Edwards LB Dipchand AI Goldfarb S Kucheryavaya AY Levvey BJ et al The Registry of the International Society for Heart and Lung Transplantation: Thirty-Third Adult Heart Transplantation Report-2016; Focus Theme: Primary Diagnostic Indications for Transplant. J Heart Lung Transplant (2016) 35:1158ā69. 10.1016/j.healun.2016.08.017
26.
Porrini E DĆaz JM Moreso F Lauzurrica R Ibernon M Torres IS et al Prediabetes Is a Risk Factor for Cardiovascular Disease Following Renal Transplantation. Kidney Int (2019) 96:1374ā80. 10.1016/j.kint.2019.06.026
27.
Midtvedt K Hjelmesaeth J Hartmann A . Insulin Resistance after Renal Transplantation: the Effect of Steroid Dose Reduction and Withdrawal. J Am Soc Nephrol (2004) 15:3233ā9. 10.1097/01.asn.0000145435.80005.1e
28.
Haller MC Royuela A Nagler EV Pascual J Webster AC . Steroid Avoidance or Withdrawal for Kidney Transplant Recipients. Cochrane Database Syst Rev (2016) CD005632. 10.1002/14651858.CD005632.pub3
29.
Zelniker TA Braunwald E . Mechanisms of Cardiorenal Effects of Sodium-Glucose Cotransporter 2 Inhibitors. J Am Coll Cardiol (2020) 75:422ā34. 10.1016/j.jacc.2019.11.031
30.
Cornell S . A Review of GLP-1 Receptor Agonists in Type 2 Diabetes: A Focus on the Mechanism of Action of Once-Weekly Agents. J Clin Pharm Ther (2020) 45(Suppl. 1):17ā27. 10.1111/jcpt.13230
Summary
Keywords
heart transplantation, comorbidity, oral glucose tolerance test, prediabetes, post-transplant diabetes mellitus
Citation
Roest S, Goedendorp-Sluimer MM, Kƶbben JJ, Constantinescu AA, Taverne YJHJ, Zijlstra F, Zandbergen AAM and Manintveld OC (2022) Oral Glucose Tolerance Test for the Screening of Glucose Intolerance Long Term PostāHeart Transplantation. Transpl Int 35:10113. doi: 10.3389/ti.2022.10113
Received
14 October 2021
Accepted
08 March 2022
Published
19 April 2022
Volume
35 - 2022
Updates
Copyright
© 2022 Roest, Goedendorp-Sluimer, Köbben, Constantinescu, Taverne, Zijlstra, Zandbergen and Manintveld.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Olivier C. Manintveld, o.manintveld@erasmusmc.nl
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