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Relationship between fasting glucose levels and in-hospital mortality in Chinese patients with acute myocardial infarction and diabetes mellitus: a retrospective cohort study
© The Author(s). 2016
Received: 4 February 2016
Accepted: 1 July 2016
Published: 2 August 2016
Previous studies have demonstrated that elevated admission and fasting glucose (FG) is associated with worse outcomes in patients with acute myocardial infarction (AMI). However, the quantitative relationship between FG levels and in-hospital mortality in patients with AMI remains unknown. The aim of the study is to assess the prevalence of elevated FG levels in hospitalized Chinese patients with AMI and diabetes mellitus and to determine the quantitative relationship between FG levels and the in-hospital mortality as well as the optimal level of FG in patients with AMI and diabetes mellitus.
A retrospective study was carried out in 1856 consecutive patients admitted for AMI and diabetes mellitus from 2002 to 2013. Clinical variables of baseline characteristics, in-hospital management and in-hospital adverse outcomes were recorded and compared among patients with different FG levels.
Among all patients recruited, 993 patients (53.5 %) were found to have FG ≥100 mg/dL who exhibited a higher in-hospital mortality than those with FG < 100 mg/dL (P < 0.001). Although there was a high correlation between FG levels and in-hospital mortality in all patients (r = 0.830, P < 0.001), the relationship showed a J-curve configuration with an elevated mortality when FG was less than 80 mg/dL. Using multivariate logistic regression models, we identified that age, FG levels and Killip class of cardiac function were independent predictors of in-hospital mortality in AMI patients with diabetes mellitus.
More than half of patients with AMI and diabetes mellitus have FG ≥100 mg/dL and the relationship between in-hospital mortality and FG level was a J-curve configuration. Both FG ≥ 100 mg/dL and FG <80 mg/dL were identified to be independent predictors of in-hospital mortality and thus the optimal FG level in AMI patients with diabetes mellitus appears to be 80–100 mg/dL.
KeywordsMyocardial infarction Diabetes mellitus Glucose Mortality
Recent studies have shown that an elevated admission or fasting glucose (FG) level is common in patients with acute myocardial infarction (AMI) and is associated with an increased short-term mortality and a high incidence of congestive heart failure [1–5]. Among many clinical variables affecting short-term outcomes in patients with AMI, an elevated FG level, termed as stress hyperglycemia, has been identified as a new independent predictor of 30-day mortality in a group of patients with AMI and hyperglycemia . This finding has important clinical significance because FG levels may serve as a simple marker to help clinicians stratify risk for optimal triage and management. Although hyperglycemia associated with AMI portends a gloomy short-term outcome in these patients, whether a low level of glucose would be a good omen for these subjects is unknown. Therefore, the quantitative relationship between FG levels across a wide range of values and the in-hospital mortality, and the optimal level of FG, in patients with AMI need to be clarified. The present study was carried out to assess the prevalence of elevated FG levels in hospitalized Chinese patients with AMI and diabetes mellitus and to determine the quantitative relationship between FG levels and the in-hospital mortality as well as the optimal level of FG in AMI patients with diabetes mellitus.
All patients who were admitted to our hospital between January 2002 and December 2013 with a definite diagnosis of AMI and diabetes mellitus and measurement of FG within 24 h of admission were included in the present study. The study was approved by the Medical Ethics Committee of Shandong Provincial Hospital Affiliated to Shandong University (NO.2015-034). No patients were directly involved in the study and no written informed consent was given by participants for their clinical records to be used in this study. All patients’ records/information was anonymized and de-identified prior to analysis. The diagnosis of AMI was based the following criteria : Detection of a rise and/or fall of cardiac biomarker values (preferably cardiac troponin) with at least one value above the 99th percentile upper reference limit and with at least one of the following: (1) Symptoms of ischaemia, (2) New or presumed new significant ST-segment–T wave changes or new left bundle branch block, (3) Development of pathological Q waves in the electrocardiogram, (4) Imaging evidence of new loss of viable myocardium or new regional wall motion abnormality, (5) Identification of an intracoronary thrombus by angiography or autopsy. Diabetes mellitus is diagnosed by demonstrating any one of the following : (1) Fasting plasma glucose level ≥ 7.0 mmol/l (126 mg/dl), (2) Plasma glucose ≥ 11.1 mmol/l (200 mg/dl) two hours after a 75 g oral glucose load as in a glucose tolerance test, (3) Symptoms of hyperglycemia and casual plasma glucose ≥ 11.1 mmol/l (200 mg/dl). The exclusion criteria included development of AMI after percutaneous coronary intervention or coronary artery bypass grafting (CABG) or other cardiac operations.
Data collection and definitions
A detailed review of the medical record for each patient was performed and clinical variables including baseline characteristics, in-hospital management, and incidence of adverse events during hospitalization were analyzed. Baseline characteristics consisted of age, gender, cigarette smoking, and history of angina pectoris, myocardial infarction, hypertension, family history of coronary artery disease, Killip class of cardiac function on admission, and FG and total cholesterol (TC) levels. The blood sample for FG and TC measurement was obtained after an overnight fast of ≥8 h within 24 h of admission and both FG and TC were determined enzymatically using an Auto Analyzer (Hitachi Inc). Patients were classified as normal FG group (FG <100 mg/dL) and elevated FG group (FG ≥100 mg/dL) according to the criteria of the 2003 follow-up report of the American Diabetes Association . Analysis of in-hospital management involved application of reperfusion therapy with primary percutaneous coronary intervention or thrombolysis performed within 12 h of symptom onset, and medical therapy with the administration of β-receptor blockers, antiplatelets, heparins, angiotensin-converting-enzyme inhibitors (ACEI), angiotensin receptor blockers (ARB), statins and nitrates. Adverse outcomes of patients during hospitalization were defined as recurrent unstable angina pectoris, myocardial reinfarction, congestive heart failure and death. The diagnosis of unstable angina pectoris was established when patients had typical chest pain at rest with concomitant ischemic ST-T changes. Reinfarction was diagnosed based on the following criteria [6, 9]: (1) recurrent ST segment elevation or new pathognomonic Q waves appear, in at least two contiguous leads, particularly when associated with ischaemic symptoms for 20 min or longer, and (2) a second rise of CK-MB level to ≥2 times the upper normal limit, or an increase of >200 U/L of CK-MB level over the previous value if it had not dropped below the upper normal limit. Congestive heart failure was defined as Killip class of cardiac function ≥ II and a need for diuretic treatment at any time during hospitalization .
Continuous variables were presented as means ± standard deviation (SD) and categorical variables as numbers and percentages. Comparisons between groups categorized by FG levels were made by 2-tailed Student t test for continuous data and by chi-square analysis for categorical variables. Spearman rank correlation analysis was applied to examine the quantitative relationship between FG levels and in-hospital mortality and multivariate logistic regression analysis used to identify risk factors that were predictive of in-hospital death independently. P value <0.05 was considered statistically significant. All analyses were performed with SPSS 13.0 (SPSS, Inc., Chicago, Illinois).
Baseline characters in patients with fasting glucose <100 mg/dL and ≥ 100 mg/dL
Normal FG (n = 863)
Elevated FG (n = 993)
61.7 ± 11.6
64.5 ± 11.2
hospital stays (d)
9.6 ± 3.4
9.5 ± 3.4
192.5 ± 40.9
197.6 ± 46.6
Previous angina pectoris
Previous myocardial infarction
Family history of CAD
Patients with Killip class ≥ III
In-hospital management in patients with fasting glucose <100 mg/dL and ≥ 100 mg/dL
Normal FG (n = 863)
Elevated FG (n = 993)
ACEI or ARB
In-hospital adverse events
In-hospital Adverse Events in Patients with Fasting Glucose <100 mg/dL and ≥ 100 mg/dL
In-hospital adverse events
Normal FG (n = 863)
Elevated FG (n = 993)
Unstable angina pectoris
Congestive heart failure
Predictors of in-hospital mortality
Results of logistic regression analysis in all patients
OR (95 % CI)
Results of logistic regression analysis in patients with different fasting glucose levels
FG <80 mg/dL (n = 236)
FG 80–100 mg/dL (n = 627)
FG ≥ 100 mg/dL (n = 993)
OR (95 % CI)
OR (95 % CI)
OR (95 % CI)
To further explore the prognostic value of a low level of FG, we performed multivariate logistic regression analysis in the subgroup of patients with FG <80 mg/dL. There were 236 patients in this subgroup with 193 men and 43 women aged 61.1 ± 11.7 years. The dependent and independent variables were the same as previous analysis. The result demonstrated that only age, FG levels and Killip class of cardiac function were identified as the independent predictors of in-hospital mortality in this subgroup of patients (Table 5). However, the level of FG lost its prognostic value in the subgroup of patients with normal FG (Table 5). As we mentioned above, age and Killip class of cardiac function on admission, FG levels were significant predictors of in-hospital mortality in patients with AMI and diabetes mellitus regardless of the FG level was low or high.
Hemoglobin A1c (HbA1c), an indirect measure of mean blood glucose over the previous 2–3 months, does not require fasting, and is more reproducible than FG and the American Diabetes Association (ADA) report in 2009 advocated the diagnosis of diabetes may be based on A1c ≥ 6.5 %. When we reviewed the medical record for each AMI patient we found that HbA1c was measured 439 patients and there were 332 men and 107 women aged from 27 to 91 years (63.1 ± 12.1 years). The mean HbA1c level of the study population was 5.73 ± 1.42 % (range: 3.81–11.35 %) and HbA1c level < 6.5 % was found in 328 patients. Compared with patients with HbA1c level < 6.5 %, a greater proportion of patients with HbA1c level ≥ 6.5 % were old (64.9 ± 12.4 years vs 62.5 ± 11.9 years, P = 0.067) and female (39.6 % vs 19.2 %, P < 0.001), and exhibited a high level of FG (167.3 ± 47.4 mg/dL vs 92.0 ± 16.6 mg/dL, P < 0.001) and TC (223.0 ± 48.8 mg/dL vs 210.0 ± 38.5 mg/dL, P = 0.004). In contrast, cigarette smoking was more common in patients with HbA1c level < 6.5 % than those with HbA1c level ≥ 6.5 % (60.7 % vs 45.0 %, P = 0.004). Among this study population, only 181 underwent reperfusion therapy (41.2 %). It is noteworthy that patients with HbA1c level ≥ 6.5 % received even less reperfusion therapy than those with HbA1c level < 6.5 % (26.1 % vs 46.3 %, P < 0.001). There was no significant difference in receiving other life-saving therapies between the two groups of patients. A higher incidence of in-hospital death was observed in patients with HbA1c level ≥ 6.5 % than those with HbA1c level < 6.5 % (18.0 % vs 7.0 %, P < 0.001). In contrast, there was no significant difference in the incidence of congestive heart failure (17.1 % vs 13.7 %, P = 0.381), recurrent unstable angina pectoris (36.0 % vs 43.0 %, P = 0.198) and reinfarction (4.5 % vs 2.1 %, P = 0.324) between the two groups. Using multivariate logistic regression models, we identified that age, Killip class of cardiac function and reperfusion therapy were independent predictors of in-hospital mortality in this study population, fasting glucose concentration and HbA1c level were not independent predictors.
Up till now, only 835 patients have completed the follow-up which included 322 patients in the normal FG group and 513 patients in the elevated FG group. A higher incidence of death was observed in patients with elevated FG than those with normal FG during the long term follow-up (32.4 % vs 25.2 %, P = 0.026). Logistic regression showed that Killip class of cardiac function, age, gender, and fasting glucose levels were independent predictors of long term survival in the follow-up population. Only 82 patients have completed the follow-up in the subgroup of patients with FG <80 mg/dL and logistic regression analysis demonstrated that FG levels was not independent predictor of long term mortality in the subgroup of patients.
Since the occurrence of fasting hyperglycemia is associated with an untoward outcome in patients with AMI, accurate detection of this co-morbidity is of great importance for optimal triage and management. The major finding in the present study was that more than half of the Chinese patients with AMI and diabetes mellitus had an elevated FG level which was associated with higher in-hospital mortality than in those with a normal FG level. Although there was a high correlation between FG levels and in-hospital mortality in all patients, the relationship was a J-curve configuration with an increased mortality when FG was <80 mg/dL. Both FG ≥ 100 mg/dL and FG <80 mg/dL were identified to be independent predictors of in-hospitality and thus the optimal FG level in patients with AMI appears to be 80–100 mg/dL. To the best of our knowledge, this study is the first in the literature to report the J-curve relationship between FG levels and in-hospital mortality and define the optimal FG levels in Chinese patients with AMI and diabetes mellitus.
In the present study, a higher incidence of in-hospital death and congestive heart failure was found in AMI patients with elevated FG than those with normal FG. Although differences in baseline characteristics and management may contribute to the higher mortality in patients with elevated FG, the level of FG as a continuous variable remained a strong independent predictor of in-hospital death in this group of patients even after all risk factors were taken into account in our multivariate logistic regression model. It is noteworthy that the in-hospital mortality increased continuously with the increase in FG across a wide range of FG measurements and there was a high correlation between FG levels and in-hospital mortality in all patients. It should also noted that the level of FG lost its prognostic value in patients with normal FG and the stepwise increase in mortality was not statistically significant until FG reached a level of ≥ 140 mg/dL (Fig. 1). These results suggest that FG <100 mg/dL may not be a risk factor of in-hospital death in patients with AMI, a finding similar to previous studies [5, 11]. However, the relationship between FG levels and in-hospital mortality revealed a J-curve configuration and the mortality tended to increase again when FG was < 80 mg/dL. Multivariate logistic regression analysis in this subgroup of patients demonstrated that FG < 80 mg/dL was also an independent predictor of in-hospital mortality in patients with AMI. This new finding indicates that a low albeit normal FG level may do harm to patients with AMI. Since both FG ≥ 100 mg/dL and FG <80 mg/dL were independent predictors of in-hospitality in patients with AMI and diabetes mellitus, it is logical to speculate that the optimal FG level in patients with AMI and diabetes mellitus should be 80–100 mg/dL.
The mechanisms underlying the relationship between FG levels and in-hospital mortality in patients with AMI and diabetes mellitus are not completely understood. It has been suggested that hyperglycemia is a marker of extensive myocardial damage and a consequence of excessive secretion of stress hormones that inhibit the action of insulin . Alternatively, hyperglycemia may result from insulin resistance commonly seen in patients with coronary artery disease, which is aggravated by the onset of AMI. Insulin deficiency promotes lipolysis and increases circulating free fatty acids which may be toxic to ischemic myocardium. Recent studies have showed that insulin has a powerful anti-inflammatory effect, which is associated with improvements in morbidity and mortality , and these beneficial effects may have been reduced in patients with elevated FG. Moreover, fasting hyperglycemia per se may induce dysfunction of vascular endothelial cells, vascular smooth muscle cells and platelets , and cause hypercoagulability and impaired fibrinolysis . The reason why a low-normal FG level carries a poor outcome in patients with AMI is not clear. The relatively low plasma glucose levels in these patients are probably be attributed to the administration of antidiabetic agents, insufficient food intake and/or excessive vomiting. When we reviewed the medical record we found the excessive administration of antidiabetic agents, insufficient food intake and/or excessive vomiting were seen in about one fourth of patients having low blood glucose levels. A low level of plasma glucose may reduce the glucose intake by the ischemic myocardium and impair remote ischemic preconditioning and further exacerbate myocardial damage .
Among 22 clinical parameters recorded in this study, we identified age, levels of FG and Killip class of cardiac function, history of hypertension, and administration of reperfusion therapy as significant predictors of in-hospital death in patients with AMI and diabetes mellitus. As mentioned in this study, compared with patients having lower FG levels, a greater proportion of patients with elevated FG were old and female, had a history of documented hypertension. Hemorrhage, especially cerebral hemorrhage was more common in old, female, hypertensive patients when thrombolytic therapy was administered. Thus patients with elevated FG received even less thrombolytic therapy than those having lower FG levels.
The odds ratio of FG was 1.19 in patients with elevated FG which is not as impressive as in the previous studies because FG levels were entered as the continuous variables in our multivariate logistic regression model whereas they were entered as categorical variables in previous studies . However, as judged by their corresponding P values, the predictive power of FG levels was weaker than age and Killip class of cardiac function but stronger than the administration of reperfusion therapy and history of hypertension.
It is well known that HbA1c captures chronic hyperglycemia in the prior 2–3 months, is well correlated to chronic diabetes complications, and has less preanalytical problems and biological variability than plasma glucose, with a noninferior standardization. As shown in this study, high level of HbA1c is associated with an increased short-term mortality in patients with AMI and diabetes mellitus. However, multivariate logistic regression analysis demonstrated that HbA1c level was not an independent predictor of in-hospital mortality in the subgroup of patients whose HbA1c level and FG were all measured during hospital stay. The reason for this may be due the small sample size studied in this subgroup of patients because in contrast to seen in the whole population, like HbA1c level, FG was not an independent predictor in this subgroup of patients too.
Although most of patients lost to follow-up and we keep in touch with only 835 patients till now, high incidence of death was observed in patients with elevated FG during the long term follow-up and logistic regression showed that FG was also an independent predictor of long term survival in this subgroup population. This result showed that FG level was not only a short term but also a long term independent predictor of outcomes in patients with AMI and diabetes. This finding seems to be particularly important due to a limited number of proven predictors of mortality in these patients.
There were several important limitations in our study. First, this is a retrospective and observational study. However, all the medical records were made by the same department of cardiology and laboratory of biochemistry and the quality control can thus be assured. Besides, our study provides unbiased data in real clinical practice. Second, the majority (61.9 %) of patients enrolled did not undergo reperfusion therapy because of late arrival at the hospital or economical restraint, which reflects the therapeutic situations in the past 12 years in Shandong Province of China. However, the in-hospital mortality in our patients was comparable to previous reports. Third, although all patients hospitalized between January 2002 and December 2013 were enrolled, patients who died before reaching the hospital may have been missed, which may have resulted in an underestimation of the mortality rate in patients with AMI and diabetes mellitus.
In conclusion, more than half of the Chinese patients with AMI and diabetes mellitus had elevated FG and there was higher in-hospital mortality in these patients than in those with AMI and a normal FG level. The in-hospital mortality in patients with AMI and diabetes mellitus increases continuously with the increase in FG and there was a high correlation between the two parameters. However, the relationship was a J-curve configuration with an increased mortality when FG was FG <80 mg/dL. Both FG ≥ 100 mg/dL and FG <80 mg/dL were identified to be independent predictors of in-hospitality and thus the optimal FG level in patients with AMI and diabetes mellitus appears to be 80–100 mg/dL. Long term follow-up study demonstrated that FG level was also a long term independent predictor of outcomes in patients with AMI and diabetes.
ACEI, angiotensin-converting-enzyme inhibitors; AMI, acute myocardial infarction; ARB, angiotensin receptor blockers; CABG, coronary artery bypass grafting; CAD, coronary artery disease; CI, Confidence intervals; FG, fasting glucose; GIK, Glucose-Insulin-Potassium; OR, odds ratio; PCI, percutaneous coronary intervention; SD, standard deviation; TC, total cholesterol
This study was supported by the Shandong province science and technology research projects (No.2012GSF2180). We gratefully acknowledge the assistance provided by Dr. Li Hua Dai and Dr. Qing Bin Zhang in data collection.
This study was supported by the Shandong province science and technology research projects (No.2012GSF2180).
Availability of data and materials
All relevant data supporting the conclusions of this article is included within the article and its additional files.
SLJ and HL designed and supervised the study and wrote the manuscript. YCG collected the data, LMC analyzed the data, ML and WZH participated in the study design and critical review of the study results, XZ helped to write and revised the manuscript. All authors listed in this paper had final approval of the submitted version.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The study was approved by the Medical Ethics Committee of Shandong Provincial Hospital Affiliated to Shandong University (NO.2015-034). No patients were directly involved in the study and no written informed consent was given by participants for their clinical records to be used in this study. All patients’ records/information was anonymized and de-identified prior to analysis.
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