The glycemic gap as a prognostic indicator in cardiogenic shock: a retrospective cohort study

• Published in: BMC cardiovascular disorders Vol. 24; no. 1; pp. 468 - 17
• Main Authors: Xu, Qianqian, Wang, Jinsheng, Lin, Zhihui, Song, Dongyan, Ji, Kangting, Xiang, Huaqiang
• Format: Journal Article
• Language: English
• Published: London BioMed Central 02.09.2024; BioMed Central Ltd; BMC
• Subjects: Acids; Aged; Analysis; Angiology; Biological markers; Biomarkers - blood; Blood Glucose - metabolism; Blood levels; Blood pressure; Blood sugar monitoring; Blood Transfusion Medicine; Cardiac Surgery; Cardiogenic shock; Cardiology; Care and treatment; China - epidemiology; Complications and side effects; Correlation analysis; Databases, Factual; Diabetes mellitus; Diabetes Mellitus - blood; Diabetes Mellitus - diagnosis; Diabetes Mellitus - mortality; Disease; Female; Glucose; Glycated Hemoglobin - metabolism; Glycemic gap; Heart attacks; Hospitals; Humans; Hyperglycemia; Hyperglycemia - blood; Hyperglycemia - diagnosis; Hyperglycemia - mortality; Hyperlactatemia; Insulin resistance; Intensive care; Internal Medicine; Inverse probability treatment weighting; Lactic acid; Lactic Acid - blood; Male; Medicine; Medicine & Public Health; Middle Aged; Mortality; Multivariate analysis; Patients; Predictive Value of Tests; Prognosis; Propensity score-matched analysis; Retrospective Studies; Risk Assessment; Risk Factors; Safe harbor; Shock, Cardiogenic - blood; Shock, Cardiogenic - diagnosis; Shock, Cardiogenic - etiology; Shock, Cardiogenic - mortality; Shock, Cardiogenic - therapy; Time Factors; Variables; Vital signs; China; Propensity score-matched analysis; Prognosis; Inverse probability treatment weighting; Glycemic gap; Cardiogenic shock
• ISSN: 1471-2261; 1471-2261
• DOI: 10.1186/s12872-024-04138-w

Background Stress-induced hyperglycemia (SIH) is associated with poor outcomes in cardiogenic shock (CS), and there have been inconsistent results among patients with or without diabetes mellitus (DM). The glycemic gap (GG) is derived by subtracting A1c-derived average glucose from blood glucose levels; it is a superior indicator of SIH. We aimed to explore the role of GG in the outcomes of patients with CS. Methods Data on patients diagnosed with CS were extracted from the MIMIC-IV v2.0 database to investigate the relationship between GG and 30-day mortality (Number of absolute GG subjects = 359; Number of relative GG subjects = 357). CS patients from the Second Affiliated Hospital of Wenzhou Medical University were enrolled to explore the correlation between GG and lactic acid (Number of absolute GG subjects = 252; Number of relative GG subjects = 251). Multivariate analysis, propensity score-matched (PSM) analysis, inverse probability treatment weighting (IPTW), and Pearson correlation analysis were applied. Results Absolute GG was associated with 30-day all-cause mortality in CS patients (HR adjusted : 1.779 95% CI: 1.137–2.783; HR PSM : 1.954 95% CI: 1.186–3.220; HR IPTW : 1.634 95% CI: 1.213–2.202). The higher the absolute GG level, the higher the lactic acid level (β adjusted : 1.448 95% CI: 0.474–2.423). A similar trend existed in relative GG (HR adjusted : 1.562 95% CI: 1.003–2.432; HR PSM : 1.790 95% CI: 1.127–2.845; HR IPTW : 1.740 95% CI: 1.287–2.352; β adjusted :1.294 95% CI: 0.369–2.219). Subgroup analysis showed that the relationship existed irrespective of DM. The area under the curve of GG combined with the Glasgow Coma Scale (GCS) for 30-day all-cause mortality was higher than that of GCS (absolute GG: 0.689 vs. 0.637; relative GG: 0.688 vs. 0.633). GG was positively related to the triglyceride-glucose index. Kaplan–Meier curves revealed that groups of higher GG with DM had the worst outcomes. The outcomes differed among races and GG levels (all P  < 0.05). Conclusions Among patients with CS, absolute and relative GGs were associated with increased 30-day all-cause mortality, regardless of DM. The relationship was stable after multivariate Cox regression analysis, PSM, and IPTW analysis. Furthermore, they reflect the severity of CS to some extent. Hyperlactatemia and insulin resistance may underlie the relationship between stress-induced hyperglycemia and poor outcomes in CS patients. They both improve the predictive efficacy of the GCS.