Fibrinogen-to-Albumin Ratio in Patients with Acute Heart Failure.

The fibrinogen-to-albumin ratio (FAR) in the acute phase of acute heart failure (AHF) has seldom been evaluated.A total of 1,402 hospitalized AHF patients were analyzed. We calculated FAR using the following formula: plasma fibrinogen (g/L) /serum albumin (g/L) × 1,000. Patients were divided into 3 groups according to FAR value quartiles (low-FAR [Q1, FAR ≤ 564, n = 352], middle-FAR [Q2/Q3, 565 ≤ FAR ≤ 1,071, n = 700], and high-FAR [Q4, FAR ≥ 1,072, n = 350]). The median (interquartile range) FAR value was 855 (710-1,103). A multivariate logistic regression model showed that C-reactive protein (per 1 mg/dL increase; odds ratio [OR]: 1.307, 95% CI: 1.250-1.3366, P < 0.001), ischemic heart disease etiology (OR: 1.691, 95%CI: 1.227-2.331, P = 0.001), and diabetes mellitus (DM; OR: 1.624, 95%CI: 1.188-2.220, P = 0.002) were independently associated with high FAR values. Kaplan-Meier curve analysis showed that prognosis of all-cause mortality within 730 days was significantly poorer (P = 0.033) in the high-FAR group than in the other 2 groups. Conversely, in the low-albumin group, the prognosis of all-cause mortality was significantly poorer (P = 0.006) in the low-FAR group than in the other groups. A Cox regression model revealed that in the low-albumin group, a low FAR value was an independent predictor of 730-day mortality (hazard ratio [HR]: 0.503, 95% CI: 0.287-0.881, P = 0.016) and HF events (HR: 0.444, 95%CI 0.276-0.712, P = 0.001).Elevated FAR was associated with inflammation, DM, and ischemic etiology, and with adverse outcomes in the whole AHF group, whereas low FAR was independently associated with adverse outcomes in the low-albumin group.

Late Kidney Injury After Admission to Intensive Care Unit for Acute Heart Failure.

Late kidney injury (LKI) in patients with acute heart failure (AHF) requiring intensive care is poorly understood.We analyzed 821 patients with AHF who required intensive care. We defined LKI based on the ratio of the creatinine level 1 year after admission for AHF to the baseline creatinine level. The patients were categorized into 4 groups based on this ratio: no-LKI (< 1.5, n = 509), Class R (risk; ≥ 1.5, n = 214), Class I (injury; ≥ 2.0, n = 78), and Class F (failure; ≥ 3.0, n = 20). Median follow-up after admission for AHF was 385 (346-426) days. Multivariate logistic regression analysis revealed that acute kidney injury (AKI) during hospitalization (Class R, odds ratio [OR]: 1.710, 95% confidence interval [CI]: 1.138-2.571, P = 0.010; Class I, OR: 6.744, 95% CI: 3.739-12.163, P < 0.001; and Class F, OR: 9.259, 95% CI: 4.078-18.400, P < 0.001) was independently associated with LKI. Multivariate Cox regression analysis showed that LKI was an independent predictor of 3-year all-cause death after final follow-up (hazard ratio: 1.545, 95% CI: 1.099-2.172, P = 0.012). The rate of all-cause death was significantly lower in the no-AKI/no-LKI group than in the no-AKI/LKI group (P = 0.048) and in the AKI/no-LKI group than in the AKI/LKI group (P = 0.017).The incidence of LKI was influenced by the presence of AKI during hospitalization, and was associated with poor outcomes within 3 years of final follow-up. In the absence of LKI, AKI during hospitalization for AHF was not associated with a poor outcome.

Ten-year trends in non-surgical patients requiring intensive care: Long-term prognostic differences by year of admission.

BACKGROUND: The aim of the present study is to elucidate prognostic impact of temporal trends of non-surgical patients requiring intensive care over a 10-year period. METHODS AND RESULTS: A total of 4276 non-surgical patients requiring intensive care from 2012 to 2021 were enrolled. Patients' backgrounds, in-hospital management, and prognoses were compared between five groups [2012-2013 (n = 825), 2014-2015 (n = 784), 2016-2017 (n = 864), 2018-2019 (n = 939), and 2020-2021 (n = 867)]. During the study period, mean age significantly increased from 69 years in 2012-2013 to 72 years in 2020-2021. Mean Acute Physiology and Chronic Health Evaluation scores significantly increased from 10 points in 2012-2013 to 12 points in 2020-2021. The median duration of intensive care unit stays increased from 3 to 4 days. Kaplan-Meier survival curve analysis showed that survival rates during 30- and 365-days were significantly lower in 2020-2021 than in 2012-2013, but it was not significantly different by a Cox proportional hazards regression model in 30 days. A Cox proportional hazards regression model revealed that the risks of 365-day all-cause death were significantly higher in patients enrolled in 2016-2017 (HR: 1.324, 95 % CI: 1.042-1.680, p = 0.021), in 2018-2019 (HR: 1.329, 95 % CI: 1.044-1.691, p = 0.021), and in 2020-2021 (HR: 1.409, 95 % CI: 1.115-1.779, p = 0.004). CONCLUSION: The condition of patients requiring intensive care is becoming more critical year by year, leading to poorer long-term prognoses despite improvements in treatment strategies. These findings emphasize the importance of additional care management after admission into non-surgical intensive care units, particularly for the aging society of Japan.