Impact of malnutrition on survival in adult patients after elective cardiac surgery: Long-term follow up data

Abstract

The data article refers to the paper titles "Impact of malnutrition on long-term survival in adult patients after elective cardiac surgery" [1]. The data refer to the analysis of the relationship between baseline malnutrition and long-term mortality after cardiac surgery. Baseline demographic, nutritional, and medical history data were collected for each enrolled patient. Baseline serum albumin and C-reactive (CRP) protein levels were also obtained. Surgical risk was assessed in accordance with the logistic EuroSCORE. Intraoperative data including cardiopulmonary bypass (CPB) time and postoperative characteristics, such as postoperative complications, number of days in the ICU, and hospitalization duration, were also collected. Data on nutritional status were collected using four nutritional screening tools: (1) malnutrition universal screening tool (MUST), (2) short nutritional assessment questionnaire (SNAQ), (3) mini-nutritional assessment (MNA), and (4) nutritional risk screening 2002 (NRS-2002). Both electronic medical records and phone interviews were used for survival data collection. ROC analysis was performed to analyze prognostic value of baseline and perioperative variables on long-term mortality. Univariate and multivariate logistic regression analysis of predictors of 3- and 8-year mortality were performed. Kaplan-Meyer curves, describing the impact of baseline and perioperative characteristics on 3- and 8-year survival were also performed.

Keywords: Albumin; Cardiac surgery; Malnutrition; Nutritional screening; Survival.

Fig. 1

According to ROC-analysis age is a significant risk factor of occurrence of the event considering by cohort and time of follow-up.

Fig. 2

ROC analyses present prognostic value of albumin in postoperative mortality with accordance to studied cohorts and follow-up periods.

Fig. 3

ROC curves present prognostic value of cardiopulmonary bypass time in postoperative mortality with accordance to studied cohorts and follow-up periods.

Fig. 4

ROC curves present prognostic value of aortic cross clamp time in postoperative mortality with accordance to studied cohorts and follow-up periods.

Fig. 5

ROC curves present prognostic value C-reactive protein level in postoperative mortality in accordance to studied cohorts and follow-up periods.

Fig. 6

ROC curves present prognostic value baseline platelets of peripheral blood in postoperative mortality in accordance to studied cohorts and follow-up periods.

Fig. 7

ROC curves present prognostic value of baseline left ventricle ejection fraction in postoperative mortality in accordance to studied cohorts and follow-up periods.

Fig. 8

Kaplan-Meyer curves present impact of malnutrition with accordance to Malnutrition Universal Screening Tool (MUST) on long-term mortality in studied cohorts and follow-up periods.

Fig. 9

Kaplan-Meyer curves present impact of Age and left ventricle ejection fraction (LVEF) on long-term mortality in mixed patient cohort during 3 and 8-year follow-up. Cut-off values were obtained by ROC-analysis.

Fig. 10

Kaplan-Meyer curves present impact of intensive care unit (ICU) stay, cardiopulmonary bypass time (CPB) and aortic cross-clamp time (ACC) on long-term mortality in mixed patient cohort during 3 and 8-year follow-up. Cut-off values were obtained by ROC-analysis.

Fig. 11

Kaplan-Meyer curves present impact of C-reactive protein and albumin on long-term mortality in mixed patient cohort during 3 and 8-year follow-up. Cut-off values were obtained by ROC-analysis.