Dataset Information

Prevalence and prognostic significance of malnutrition in diabetic patients with coronary artery disease: a cohort study.

ABSTRACT:

Background

Malnutrition is associated with poor prognosis in cardiovascular disease patients or in diabetic patients. However, the relationship between malnutrition and clinical outcomes in diabetic patients with coronary artery disease (CAD) is not well known. The aim of this study is to report the prevalence and prognostic consequences of malnutrition in diabetic patients with CAD.

Methods

In this retrospective observational study, the Controlling Nutritional Status (CONUT) score applied to 12,898 consecutive diabetic patients with CAD. The association between malnutrition and long-term all-cause mortality was examined using Cox proportional hazards regression analysis.

Results

According to CONUT score, 60.5% patients suffered from malnutrition; 46.4%, 13.2%, and 0.9% patients had mild, moderate, and severe malnutrition, respectively. During a median follow-up of 4.88 (2.83-7.51) years, 1973 (15.3%) patients died. After adjustment for confounders, malnutrition was associated with significantly increased risk for long-term all-cause mortality (adjusted hazard ratio for mild malnutrition and moderate to severe malnutrition, respectively: 1.38 [95% confidence interval (CI) 1.07-1.77]; P value = 0.012 and 1.63 [95% CI 1.18-2.24]; P value = 0.003). A similar association was observed around subgroups.

Conclusions

Malnutrition is common in diabetic patients with CAD and is strongly associated with increased mortality. It is necessary to adequately assess the nutritional status and take the effective nutritional guidance to improve the prognosis of diabetic patients with CAD.

SUBMITTER: Wei W

PROVIDER: S-EPMC8626957 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Unrecognized myocardial infarction (UMI) is known to constitute a substantial portion of potentially lethal coronary heart disease. However, the diagnosis of UMI is based on the appearance of incidental Q-waves on 12-lead electrocardiography. Thus, the syndrome of non-Q-wave UMI has not been investigated. Delayed-enhancement cardiovascular magnetic resonance (DE-CMR) can identify MI, even when small, subendocardial, or without associated Q-waves. The aim of this study was to investigate the prevalence and prognosis associated with non-Q-wave UMI identified by DE-CMR.We conducted a prospective study of 185 patients with suspected coronary disease and without history of clinical myocardial infarction who were scheduled for invasive coronary angiography. Q-wave UMI was determined by electrocardiography (Minnesota Code). Non-Q-wave UMI was identified by DE-CMR in the absence of electrocardiographic Q-waves. Patients were followed to determine the prognostic significance of non-Q-wave UMI. The primary endpoint was all-cause mortality. The prevalence of non-Q-wave UMI was 27% (50/185), compared with 8% (15/185) for Q-wave UMI. Patients with non-Q-wave UMI were older, were more likely to have diabetes, and had higher Framingham risk than those without MI, but were similar to those with Q-wave UMI. Infarct size in non-Q-wave UMI was modest (8%+/-7% of left ventricular mass), and left ventricular ejection fraction (LVEF) by cine-CMR was usually preserved (52%+/-18%). The prevalence of non-Q-wave UMI increased with the extent and severity of coronary disease on angiography (p<0.0001 for both). Over 2.2 y (interquartile range 1.8-2.7), 16 deaths occurred: 13 in non-Q-wave UMI patients (26%), one in Q-wave UMI (7%), and two in patients without MI (2%). Multivariable analysis including New York Heart Association class and LVEF demonstrated that non-Q-wave UMI was an independent predictor of all-cause mortality (hazard ratio [HR] 11.4, 95% confidence interval [CI] 2.5-51.1) and cardiac mortality (HR 17.4, 95% CI 2.2-137.4).In patients with suspected coronary disease, the prevalence of non-Q-wave UMI is more than 3-fold higher than Q-wave UMI. The presence of non-Q-wave UMI predicts subsequent mortality, and is incremental to LVEF.Clinicaltrials.gov NCT00493168.

Project description:BackgroundMalnutrition is a poor prognostic factor in a wide range of diseases. Nevertheless, there is a lack of data investigating the association between malnutrition and outcomes of patients with type B aortic dissection (TBAD) undergoing thoracic endovascular aortic repair (TEVAR). Therefore, the aim of the present study was to report the prevalence and clinical impact of malnutrition assessed by the controlling nutritional status (CONUT) score in TBAD patients undergoing TEVAR.MethodsThe retrospective study indicated that a total of 881 patients diagnosed with TBAD and treated with TEVAR from January 2010 to December 2017 were categorized into subgroups based on their CONUT score (low ≤ 5 vs. high > 5). To assess the correlation between malnutrition and early and follow-up outcomes of TBAD patients, logistic and Cox regression analysis were utilized, incorporating inverse probability weighting.ResultsMalnutrition was present in 20.3% of patients according to the CONUT score. Multivariate logistic regression analysis revealed that pre-operative CONUT score modeled as a continuous variable was an independent risk factor for prolonged intensive care unit stay (odds ratio [OR], 1.09; 95% confidence interval [CI], 1.02-1.17; p = 0.015), 30-day death (OR, 1.43; 95% CI, 1.19-1.72; p < 0.001), delirium (OR, 1.11; 95% CI, 1.01-1.23; p = 0.035) and acute kidney injury (OR, 1.09; 95% CI, 1.01-1.16; p = 0.027). During a median follow-up of 70.8 (46.1-90.8) months, 102 (11.8%) patients died (high CONUT group: 21.8% vs. low CONUT group: 9.0%; p < 0.001). Multivariable Cox proportional-hazards models showed that malnutrition was an independent predictor for follow-up mortality (hazard ratio, 1.68; 95% CI, 1.11-2.53; p = 0.014). Results remained consistent across various sensitivity analyses.ConclusionsMalnutrition assessed by the CONUT score could profoundly affect the early and follow-up prognosis in patients undergoing TEVAR. Routine pre-intervention nutritional evaluation might provide valuable prognostic information.