Dataset Information

Association of baseline fasting plasma glucose with 1-year mortality in non-diabetic patients with acute cerebral infarction: a multicentre observational cohort study.

ABSTRACT:

Objectives

Evidence on the association between fasting blood glucose and mortality in non-diabetic patients who had a stroke is limited. We aimed to investigate the association of baseline fasting plasma glucose (FPG) with 1 year all-cause mortality in non-diabetic patients with acute cerebral infarction (ACI).

Design

A multicentre prospective cohort study.

Setting

Four grade A tertiary hospitals in the Xi'an district of China.

Participants

A total of 1496 non-diabetic patients within 7 days of ACI were included.

Main outcome measures

The outcome was 1 year all-cause mortality. Baseline FPG was analysed as a continuous variable and was divided into four quartiles (group Q1-group Q4). We used multivariable Cox regression analyses, curve fitting and Kaplan-Meier (K-M) analyses to explore the association of baseline FPG with 1 year all-cause mortality in non-diabetic patients with ACI.

Results

After controlling for confounders, multivariable Cox regression analyses indicated a 17% increase in 1 year all-cause mortality for every 1 mmol/L of baseline FPG increase (HR=1.17, 95% CI 1.02 to 1.35, p=0.030). Patients from the Q4 group had 2.08 times increased hazard of 1 year all-cause mortality compared with the Q1 group (HR=2.08, 95% CI 1.13 to 3.82, p=0.019), while the survival rate of patients in group Q4 was decreased compared with that in other groups (p<0.001). The curve fitting revealed a positive but non-linear association of baseline FPG with 1-year all-cause mortality in non-diabetic patients with ACI.

Conclusion

In non-diabetic patients with ACI, elevated baseline FPG is an independent risk factor for 1-year all-cause mortality, and the two are positively and non-linearly associated. These results suggest that high FPG should be seen as a concern in non-diabetic patients with ACI.

SUBMITTER: Zhang D

PROVIDER: S-EPMC10496696 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Publications

Association of baseline fasting plasma glucose with 1-year mortality in non-diabetic patients with acute cerebral infarction: a multicentre observational cohort study.

Zhang Dandan D Liu Zhongzhong Z Liu Pei P Zhang Huan H Guo Weiyan W Lu Qingli Q Huang Congli C Wang Jing J Chang Qiaoqiao Q Zhang Mi M Huo Yan Y Wang Yan Y Lin Xuemei X Wang Fang F Wu Songdi S

BMJ open 20230906 9

<h4>Objectives</h4>Evidence on the association between fasting blood glucose and mortality in non-diabetic patients who had a stroke is limited. We aimed to investigate the association of baseline fasting plasma glucose (FPG) with 1 year all-cause mortality in non-diabetic patients with acute cerebral infarction (ACI).<h4>Design</h4>A multicentre prospective cohort study.<h4>Setting</h4>Four grade A tertiary hospitals in the Xi'an district of China.<h4>Participants</h4>A total of 1496 non-diabet ...[more]

PMID: 37673451

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Project description:BackgroundHigher fasting plasma glucose (FPG) levels were associated with an increased risk of all-cause mortality; however, the associations between long-term FPG trajectory groups and mortality were unclear, especially among individuals with a normal FPG level at the beginning. The aims of this study were to examine the associations of FPG trajectories with the risk of mortality and identify modifiable lifestyle factors related to these trajectories.MethodsWe enrolled 50,919 individuals aged ≥ 20 years old, who were free of diabetes at baseline, in the prospective MJ cohort. All participants completed at least four FPG measurements within 6 years after enrollment and were followed until December 2011. FPG trajectories were identified by group-based trajectory modeling. We used Cox proportional hazards models to examine the associations of FPG trajectories with mortality, adjusting for age, sex, marital status, education level, occupation, smoking, drinking, physical activity, body mass index, baseline FPG, hypertension, dyslipidemia, cardiovascular disease or stroke, and cancer. Associations between baseline lifestyle factors and FPG trajectories were evaluated using multinomial logistic regression.ResultsWe identified three FPG trajectories as stable (n = 32,481), low-increasing (n = 17,164), and high-increasing (n = 1274). Compared to the stable group, both the low-increasing and high-increasing groups had higher risks of all-cause mortality (hazard ratio (HR) = 1.18 (95% CI 0.99-1.40) and 1.52 (95% CI 1.09-2.13), respectively), especially among those with hypertension. Compared to participants with 0 to 1 healthy lifestyle factor, those with 6 healthy lifestyle factors were more likely to be in the stable group (ORlow-increasing = 0.61, 95% CI 0.51-0.73; ORhigh-increasing = 0.20, 95% CI 0.13-0.32).ConclusionsIndividuals with longitudinally increasing FPG had a higher risk of mortality even if they had a normal FPG at baseline. Adopting healthy lifestyles may prevent individuals from transitioning into increasing trajectories.

Project description:IntroductionPrevious studies based on a single measure of fasting plasma glucose (FPG) showed an inconsistent conclusion about the association between FPG and osteoporosis risk. Not accounting for time-varying and cumulative average of FPG over time could bias the true relation between FPG and osteoporosis. Our study aims to investigate the association between the trajectories of FPG and osteoporosis risk for non-diabetic and diabetic populations.MethodsA total of 18,313 participants who attended physical examinations during 2008-2018 were included. They were free of osteoporosis at their first physical examination and followed until their last physical examination before December 31, 2018. We recorded their incidence of osteoporosis and at least three FPG values during follow-up. Their longitudinal FPG trajectories were identified by the latent class growth analysis model based on the changes in FPG. Multivariable logistic regression models were used to analyze the association between the trajectories of FPG and osteoporosis diagnosed in the follow-up physical examination in both non-diabetics and diabetics.ResultsThere were 752 incident osteoporosis among 16,966 non-diabetic participants, and 57 incident osteoporosis among 1,347 diabetic participants. Among non-diabetics, the elevated-increasing FPG trajectory was negatively associated with osteoporosis risk in women (odds ratio (OR), 0.62; 95% confidence interval (CI), 0.43-0.88). Premenopausal women with elevated-increasing FPG trajectory had lower osteoporosis risk than those women with normal-stable FPG trajectory (OR, 0.41; 95% CI, 0.20-0.88), while this association was insignificant in postmenopausal women. Among diabetics, those whose longitudinal FPG is kept at a very high level had the highest risk of osteoporosis (OR, 3.09; 95% CI, 1.16-8.22), whereas those whose FPG starts with the high level and keeps on increasing did not exhibit a significantly increased risk (OR, 1.75; 95% CI, 0.81-3.76) compared with those who keep stable moderate-high level of FPG, except in men (OR, 2.49; 95% CI, 1.02-6.12).ConclusionDistinct trajectories of FPG are associated with differential risk of osteoporosis in non-diabetic and diabetic populations. Controlling a proper FPG level in different populations is necessary for osteoporosis prevention.

Project description:BackgroundPatients with type 2 diabetes mellitus (T2DM) are predisposed to poor cardiovascular outcomes after ST-segment elevation myocardial infarction (STEMI). Left ventricular adverse remodeling (LVAR) triggered upon myocardial infarction is recognized as the predominant pathological process in the development of heart failure. In the present study, we sought to investigate whether visit-to-visit fasting plasma glucose (FPG) variability is a potential predictor of LVAR in T2DM patients after STEMI.MethodsFrom January 2014 to December 2018 in Ruijin Hospital, T2DM patients with STEMI who underwent primary percutaneous coronary intervention were consecutively enrolled and followed up for ~ 12 months. The changes in left ventricular geometric and functional parameters between baseline and 12-month follow-up were assessed by echocardiography. The incidence of LVAR, defined as 20% increase in indexed left ventricular end-diastolic volume (LVEDV), and its relationship with visit-to-visit FPG variability were analyzed. Multivariate regression models were constructed to test the predictive value of FPG variability for post-infarction LVAR.ResultsA total of 437 patients with type 2 diabetes and STEMI were included in the final analysis. During a mean follow-up of 12.4 ± 1.1 months, the incidence of LVAR was 20.6% and mean enlargement of indexed LVEDV was 3.31 ± 14.4 mL/m2, which was significantly increased in patients with higher coefficient variance (CV) of FPG (P = 0.002) irrespective of baseline glycemic levels. In multivariate analysis, FPG variability was independently associated with incidence of post-infarction LVAR after adjustment for traditional risk factors, baseline HbA1c as well as mean FPG during follow-up (OR: 3.021 [95% CI 1.081-8.764] for highest vs. lowest tertile of CV of FPG). Assessing FPG variability by other two measures, including standard deviation (SD) and variability independent of the mean (VIM), yielded similar findings.ConclusionsThis study suggests that visit-to-visit FPG variability is an independent predictor of incidence of LVAR in T2DM patients with STEMI. Trial registration Trials number, NCT02089360; registered on March 17,2014.

Dataset Information

Association of baseline fasting plasma glucose with 1-year mortality in non-diabetic patients with acute cerebral infarction: a multicentre observational cohort study.

Objectives

Design

Setting

Participants

Main outcome measures

Results

Conclusion

Publications

Association of baseline fasting plasma glucose with 1-year mortality in non-diabetic patients with acute cerebral infarction: a multicentre observational cohort study.

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