The association between serum albumin and long length of stay of patients with acute heart failure: A retrospective study based on the MIMIC-IV database

Association Between Serum Albumin and the Length of Hospital Stay Among Patients With Acute Heart Failure

Introduction: Albumin plays a vital role in improving osmotic pressure and hemodynamics. A lower serum albumin level may cause pulmonary congestion and edema and contribute to myocardial dysfunction, diuresis resistance, and fluid retention in acute heart failure. Hypothesis: We hypothesized that AHF patients with normal serum albumin have shorter hospital stays. Methods: Using Electronic Medical Records, patients admitted from May 2020 through May 2021 aged >18, ICD-10, and positive Framingham Heart Failure Diagnostic Criteria were included. We excluded patients without albumin records and eGFRs less than 30 mL/min/1.73 m2. Prolonged hospitalization was defined as >8 days of hospitalization. Results: During index emergency department visits, patients were symptomatic (New York Heart Association), aged median of 70 years (Interquartile range (IQR) 18), 59% (n = 103) were male, predominantly White (73%, n = 128), and had a high Charleston Comorbidity index score [5, IQR (4-7)]. Nearly one-fourth (23%, n = 41) of the patients had <3.5 g/dL albumin levels. The median length of hospital stay was eight days (IQR of 11). Comparing differences between lengths of hospital stays (<8 vs. >8 days), there was different serum albumin (3.9 + 0.48 vs. 3.6 + 0.53, p < .001) and left ventricular ejection fraction (45% (range 26-63) versus 30% (range 24-48), p = .004). An increased serum albumin decreased prolonged hospitalization (odds ratio (OR), 0.28; 95% confidence interval (CI), 0.14-0.55, p = <0.001). Patients in the lower albumin group had higher NT-proBNP (median: 8521 (range 2025-9134) versus 5147 (range 2966-14,795) pg/ml, p = .007) and delay in administering intravenous diuretics (391 (167-964) minutes versus 271 (range 157-533) minutes, p = .02). Conclusion: Hypoalbuminemia is strongly associated with prolonged hospitalization. Timely and effective diuretic therapy may reduce hospital stay durations, particularly with albumin supplementation.

Association between preoperative albumin and length of hospital stay in non-cardiac surgery patients with pulmonary hypertension: A secondary retrospective analysis

To explore the risk factors affecting the length of hospital stay (LOS) as well as to examine the relationship between preoperative serum albumin levels and LOS following non-cardiac, non-obstetric surgery in patients with pulmonary hypertension (PHTN). This study represents a secondary retrospective analysis based on 287 non-cardiac, non-obstetric procedures performed on 195 PTHN patients at a single institution in the USA between 2007 and 2013. The primary outcome was the LOS. We conducted a multiple logistic regression analysis to compare the LOS between the 2 groups, divided at a serum albumin level of 3.5 g/dL. After adjusting for multiple covariates, the ORs for the long length of stay (LOS > 7 days) for the high group(albumin > 3.5 g/dL) compared with the low group (albumin ≤ 3.5 g/dL) were 0.35 (95%CI: 0.21~0.6), 0.41 (95%CI: 0.22 ~0.76), 0.41 (95%CI: 0.18~0.94) from model 2 to model 4. The stratified analysis results indicate that these findings are stable (p for trend > 0.05). In this study, it was observed that low levels of preoperative albumin were associated with an increased risk of prolonged hospital stay after non-cardiac, non-obstetric surgery in patients with PHTN. This implies that optimizing preoperative nutrition could potentially reduce the LOS for non-cardiac, non-obstetric surgery in patients with PHTN.

Salzburg Intensive Care database (SICdb): a detailed exploration and comparative analysis with MIMIC-IV

The utilization of artificial intelligence (AI) in healthcare is on the rise, demanding increased accessibility to (public) medical data for benchmarking. The digitization of healthcare in recent years has facilitated medical data scientists' access to extensive hospital data, fostering AI-based research. A notable addition to this trend is the Salzburg Intensive Care database (SICdb), made publicly available in early 2023. Covering over 27 thousand intensive care admissions at the University Hospital Salzburg from 2013 to 2021, this dataset presents a valuable resource for AI-driven investigations. This article explores the SICdb and conducts a comparative analysis with the widely recognized Medical Information Mart for Intensive Care - version IV (MIMIC-IV) database. The comparison focuses on key aspects, emphasizing the availability and granularity of data provided by the SICdb, particularly vital signs and laboratory measurements. The analysis demonstrates that the SICdb offers more detailed information with higher data availability and temporal resolution for signal data, especially for vital signs, compared to the MIMIC-IV. This is advantageous for longitudinal studies of patients' health conditions in the intensive care unit. The SICdb provides a valuable resource for medical data scientists and researchers. The database offers comprehensive and diverse healthcare data in a European country, making it well suited for benchmarking and enhancing AI-based healthcare research. The importance of ongoing efforts to expand and make public datasets available for advancing AI applications in the healthcare domain is emphasized by the findings.

Low body temperature and mortality in critically ill patients with coronary heart disease: a retrospective analysis from MIMIC-IV database

BACKGROUND

This study was aimed to investigate the correlation between low body temperature and outcomes in critically ill patients with coronary heart disease (CHD).

METHODS

Participants from the Medical Information Mart for Intensive Care (MIMIC)-IV were divided into three groups (≤ 36.5 ℃, 36.6-37.4 ℃, ≥ 37.5 ℃) in accordance with body temperature measured orally in ICU. In-hospital, 28-day and 90-day mortality were the major outcomes. Multivariable Cox regression, decision curve analysis (DCA), restricted cubic splines (RCS), Kaplan-Meier curves (with or without propensity score matching), and subgroup analyses were used to investigate the association between body temperature and outcomes.

RESULTS

A total of 8577 patients (65% men) were included. The in-hospital, 28-day, 90-day, and 1-year overall mortality rate were 10.9%, 16.7%, 21.5%, and 30.4%, respectively. Multivariable Cox proportional hazards regression analyses indicated that patients with hypothermia compared to the patients with normothermia were at higher risk of in-hospital [adjusted hazard ratios (HR) 1.23, 95% confidence interval (CI) 1.01-1.49], 28-day (1.38, 1.19-1.61), and 90-day (1.36, 1.19-1.56) overall mortality. For every 1 ℃ decrease in body temperature, adjusted survival rates were likely to eliminate 14.6% during the 1-year follow-up. The DCA suggested the applicability of the model 3 in clinical practice and the RCS revealed a consistent higher mortality in hypothermia group.

CONCLUSIONS

Low body temperature was associated with increased mortality in critically ill patients with coronary heart disease.