Clinical Significance of the Triglyceride-Glucose Index in Patients Requiring Nonsurgical Intensive Care.

The evaluation of triglyceride-glucose (TyG) index has not been sufficient in patients requiring nonsurgical intensive care.A total of 3,906 patients who required intensive care were enrolled. We computed the TyG index using the value on admission by the following formula: ln [triglyceride (mg/dL) × glucose (mg/dL) /2]. Patients were divided into three groups according to the TyG index quartiles: low (quartile 1 [Q1]; TyG index ≤ 8.493, n = 977), middle (Q2/Q3; 8.494 ≤ TyG index ≤ 9.536, n = 1,953), and high (Q4; TyG index > 9.537, n = 976). The median (interquartile range) TyG index was 9.00 (8.50-9.54); acute coronary syndrome (ACS) had the highest TyG index among all etiologies at 9.12 (8.60-9.68). A multivariate logistic regression model showed that ACS (odds ratio [OR], 2.133; 95% confidence interval [CI], 1.783-2.552) were independently correlated with high TyG index. A Cox proportional hazards regression model revealed that, in ACS, the Q2/Q3 and Q4 groups were independent predictors of 30-day all-cause mortality (hazard ratio [HR], 1.778; 95% CI, 1.014-3.118; HR, 2.986; 95% CI, 1.680-5.308; respectively) and that in acute heart failure [AHF], the Q4 group was a converse independent predictor of 30-day all-cause mortality (HR, 0.488; 95% CI, 0.241-0.988).High TyG index was linked to ACS and negative outcomes in the ACS group; in contrast, low TyG index was associated with adverse outcomes in the AHF 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.

Timing and Degree of Acute Kidney Injury in Patients Requiring Non-Surgical Intensive Care.

BACKGROUND: The degree and timing of acute kidney injury (AKI) on admission and during hospitalization in patients requiring non-surgical intensive care remain unclear.Methods and Results: In this study, 3,758 patients requiring intensive care were analyzed retrospectively. AKI was defined based on the ratio of serum creatinine concentrations recorded at each time point (i.e., on admission and during the first 5 days in the intensive care unit and during hospitalization) to those measured at baseline. Patients were grouped by combining AKI severity (RIFLE class) and timing (i.e., from admission to 5 days [A-5D]; from 5 days to hospital discharge [5D-HD]) as follows: No-AKI; New-AKI (no AKI to Class R [risk; ≥1.5-fold increase in serum creatinine], I [injury; ≥2.0-fold increase in serum creatinine], and F [failure; ≥3.0-fold increase in serum creatinine or receiving dialysis during hospitalization]); Stable-AKI (Class R to R; Class I to I); and Worsening-AKI (Class R to I or F; Class I to F). Multivariate logistic regression analysis indicated that 730-day mortality was independently associated with Class R, I, and F on admission; Class I and F during the 5D-H period; and New-AKI and Worsening-AKI during A-5D and 5D-HD. CONCLUSIONS: AKI on admission, even Class R, was associated with a poor prognosis. An increase in RIFLE class during hospitalization was identified as an important factor for poor prognosis in patients requiring intensive care.

Effect of sacubitril/valsartan on natriuretic peptide in patients with compensated heart failure.

The time-dependent changes in the natriuretic peptide families during sacubitril/valsartan (S/V) treatment remain obscure in the Asian heart failure (HF) cohort. Eighty-one outpatients with compensated HF were analyzed. The patients were divided into two groups based on the administration of S/V (n = 42) or angiotensin converting enzyme inhibitor (ACE-I; n = 39). Changes to the natriuretic peptide families and the daily dose of loop diuretics were evaluated 3 and 6 months after the intervention. The atrial natriuretic peptide (ANP) level was significantly increased (102 [63-160] pg/mL to 283 [171-614] pg/mL [3 months]; 409 [210-726] pg/mL [6 months]) in the S/V group but not in the ACE-I group. The dose of furosemide was significantly decreased during the six-month follow-up period in the S/V group (40 [20-40] mg to 20 [10-20] mg) but not in the ACE-I group. A multivariate logistic regression model showed that the presence of persistent atrial fibrillation (AF) and HF with a preserved left ventricular ejection fraction (HFpEF) was independently associated with a high delta-ANP ratio (≥ 4.5 ANP value on the start date/ANP value at 6 months; the mean value was used as the cutoff value) (odds ratio [OR]: 4.649, 95% CI 1.032-20.952 and OR: 7.558, 95% CI 1.427-40.042). The plasma level of ANP was increased, and the loop diuretic dose was decreased by the addition of neprilysin inhibitor therapy in patients with compensated HF. In patients with HFpEF and complicated persistent AF, neprilysin inhibitor therapy was associated with an increase in ANP.

Time-Dependent Changes in N-Terminal Pro-Brain Natriuretic Peptide and B-Type Natriuretic Peptide Ratio During Hospitalization for Acute Heart Failure.

The time-dependent changes in the simultaneous evaluation of B-type natriuretic peptide (BNP) and N-terminal pro-BNP (NT-proBNP) levels during hospitalization for acute heart failure (AHF) remain obscure.A total of 356 AHF patients were analyzed. Blood samples were collected within 15 minutes of admission (Day 1), 48-120 hours (Day 2-5) and between days 7 and 21 (Before-discharge). Plasma BNP and serum NT-proBNP were significantly decreased on Days 2-5 and Before-discharge in comparison to Day 1, but the NT-proBNP/BNP ratio was not changed. Patients were divided into 2 groups according to the median NT-proBNP/BNP (N/B) ratio on Day 2-5 (Low-N/B versus High-N/B). A multivariate logistic regression model showed that age (per 1-year increase), serum creatinine (per 1.0-mg/dL increase), and serum albumin (per 1.0-mg/dL decrease) were independently associated with High-N/B (odds ratio [OR]: 1.071, 95%confidence interval [CI]: 1.036-1.108, OR: 1.190, 95%CI: 1.121-1.264 and OR: 2.410, 95%CI: 1.121-5.155, respectively). Kaplan-Meier curve analysis showed that the High-N/B group had a significantly poorer prognosis than the Low-N/B group, and a multivariate Cox regression model revealed that High-N/B was an independent predictor of 365-day mortality (hazard ratio [HR]: 1.796, 95%CI: 1.041-3.100) and HF events (HR: 1.509, 95%CI: 1.007-2.263). The same trend in prognostic impact was significantly observed in both low and high delta-BNP cohorts (< 55% and ≥ 55% BNP value on the start date/BNP value at 2-5-days).A high NT-proBNP/BNP ratio on Day 2-5 was associated with non-cardiac conditions and was associated with adverse outcomes even if BNP was adequately decreased by the treatment of AHF.

Evaluation of Plasma Xanthine Oxidoreductase (XOR) Activity in Patients with Cardiopulmonary Arrest.

Plasma xanthine oxidoreductase (XOR) activity in patients with cardiopulmonary arrest (CPA) has not yet been studied.A total of 1,158 patients who required intensive care and 231 control patients who attended a cardiovascular outpatient clinic were prospectively analyzed. Blood samples were collected within 15 minutes of admission from patients in intensive care patients, which were divided into a CPA group (n = 1,053) and a no-CPA group (n = 105). Plasma XOR activity was compared between the 3 groups and factors independently associated with extremely elevated XOR activity were identified using a multivariate logistic regression model. Plasma XOR activity in the CPA group (median, 1,030.0 pmol/hour/mL; range, 233.0-4,240.0 pmol/hour/mL) was significantly higher than in the no-CPA group (median, 60.2 pmol/hour/mL; range, 22.5-205.0 pmol/hour/mL) and control group (median, 45.2 pmol/hour/mL; range, 19.3-98.8 pmol/hour/mL). The regression model showed that out-of-hospital cardiac arrest (OHCA) (yes, odds ratio [OR]: 2.548; 95% confidence interval [CI]: 1.098-5.914; P = 0.029) and lactate levels (per 1.0 mmol/L increase, OR: 1.127; 95% CI: 1.031-1.232; P = 0.009) were independently associated with high plasma XOR activity (≥ 1,000 pmol/hour/mL). Kaplan-Meier curve analysis indicated that the prognosis, including all-cause death within 30 days, was significantly poorer in high-XOR patients (XOR ≥ 6,670 pmol/hour/mL) than in the other patients.Plasma XOR activity was extremely high in patients with CPA, especially in OHCA. This would be associated with a high lactate value and expected to eventually lead to adverse outcome in patients with CPA.

Increased levels of plasma nucleotides in patients with rheumatoid arthritis.

Novel biomarkers of rheumatoid arthritis (RA), in addition to antibodies against cyclic citrullinated peptides, are required. Metabolome analysis is a promising approach to identify metabolite biomarkers for clinical diagnosis. We adopted a comprehensive non-targeted metabolomics approach combining capillary electrophoresis time-of-flight mass spectrometry (TOFMS) and liquid chromatography TOFMS. We constructed metabolomics profiling of 286 plasma samples of a Japanese population [92 RA patients, 13 systemic lupus erythematosus (SLE) patients and 181 healthy controls). RA case-control association tests showed that seven metabolites exhibited significantly increased levels in RA samples compared with controls (P < 1.0 × 10-4; UTP, ethanolamine phosphate, ATP, GDP, ADP, 6-aminohexanoic acid and taurine), whereas one exhibited a decreased level (xanthine). The plasma levels of these eight metabolites were not significantly different between seropositive and seronegative RA patients (P > 0.05; n = 68 and 24, respectively). The four nucleotide levels (UTP, ATP, GDP and ADP) were significantly higher in the non-treatment patients in comparison between patients with and without treatment (P < 0.014; n = 57 and 35, respectively). Furthermore, we found that none of the four nucleotide levels showed significant differences in SLE case-control association tests (P > 0.2; 13 patients with SLE and the 181 shared controls) and psoriatic arthritis (PsA) case-control association tests (P > 0.11; 42 patients with PsA and 38 healthy controls), indicating disease specificity in RA. In conclusion, our large-scale metabolome analysis demonstrated the increased plasma nucleotide levels in RA patients, which could be used as potential clinical biomarkers of RA, especially for seronegative RA.

A preliminary pilot study investigating the impact of endovascular treatment on leg muscle volume in peripheral artery disease and its relation to baseline glycemic control.

BACKGROUND AND AIMS: Peripheral artery disease (PAD), intermittent claudication, and impaired mobility contribute to the loss of skeletal muscle. This study investigated the impact of endovascular treatment (EVT) in patients suffering from PAD above the knee and its relation to baseline glycemic control. METHODS AND RESULTS: Mid-thigh muscle volume was measured before EVT, 3 months after EVT and 6 months after EVT. Mid-thigh muscle volumes of ipsilateral PAD patients with ischemic and non-ischemic legs were compared. Correlations between total thigh muscle volume and clinical characteristics were analyzed using univariable and multivariable analysis. Overall, thigh muscle volume increased after EVT. The mid-thigh muscle volume was significantly lower in patients with ipsilateral lesions and in those with ischemic lower limbs. The thigh muscle volume of those with ischemic lower limbs increased after EVT. Baseline glycated hemoglobin was the only factor that was negatively correlated with changes in the muscle volume after EVT. Muscle volume significantly increased in normoglycemic HbA1c<6.5% (47 mmol/mol) patients. There was no significant alteration in the muscle volume of hyperglycemic HbA1c ≥ 6.5% patients. CONCLUSION: Ischemic muscle atrophy was ameliorated after EVT in normoglycemic patients. There is a need for a large-scale trial to investigate whether EVT can protect or delay skeletal muscle loss.

The prognostic impact of the serum heart-type fatty acid-binding protein level in patients with sepsis who were admitted to the non-surgical intensive-care unit.

Ongoing myocardial damage at the acme of the sepsis status has not been sufficiently evaluated. The clinical data of 160 sepsis patients who require intensive care and 127 outpatients with chronic heart failure (HF) were compared as a retrospective cohort study. Thereafter, the sepsis patients were divided into 3 groups according to the serum heart-type fatty acid-binding protein (H-FABP) quartiles [low H-FABP = Q1 (n = 39), middle H-FABP = Q2/Q3 (n = 81), and high H-FABP = Q4 group (n = 40)]. The H-FABP level was measured within 15 min of admission. The serum H-FABP levels in the sepsis patients [26.6 (9.3-79.0) ng/ml] were significantly higher than in the choric HF patients [6.6 (4.6-9.7) ng/ml]. A Kaplan-Meier curve showed that the survival rate of the high-H-FABP group was significantly lower than that of the middle- and low-H-FABP groups. The multivariate Cox regression analysis for the 365-day mortality showed that the high-H-FABP group (hazard ratio: 6.544, 95% confidence interval [CI] 2.026-21.140; p = 0.002) was an independent predictor of the 365-day mortality. The same trend in the prognostic impact was significantly (p = 0.015) observed in the cohort that had not been suffering from the cardiac disease before admission. The serum H-FABP level was an independent predictor of the 365-day mortality in the patients who were emergently hospitalized in the intensive-care unit due to sepsis. Ongoing myocardial damage was detected in the majority of patients with sepsis, suggesting that ongoing myocardial damage might be a candidate predictor of adverse outcomes in sepsis patients.

Clinical Significance of the Fibrosis-4 Index in Patients with Acute Heart Failure Requiring Intensive Care.

The Fibrosis-4 (FIB4) index could indicate the liver fibrosis in patients with chronic hepatic diseases. It was calculated using the following formula: (age × aspartate aminotransferase [U/L]) / (platelet count [103/µL] × âˆšalanine aminotransferase [U/L]). However, the clinical impact of the FIB4 index in the acute phase of acute heart failure (AHF) has not been sufficiently investigated.A total 1,468 AHF patients were analyzed. The median FIB4 index was 2.71 [1.85-4.22]. The patients were divided into three groups according to the quartiles of their FIB4 index (low-FIB4 [Q1, ≤ 1.847], middle-FIB4 [Q2/Q3, 1.848-4.216], and high-FIB4 [Q4, ≥ 4.216] groups). A Kaplan-Meier curve analysis showed that the prognosis, such as all-cause mortality and HF events within 365 days, was significantly poorer in the high-FIB4 group than in the middle-FIB4 and low-FIB4 groups. A multivariate Cox regression model identified high FIB4 index as an independent predictor of 365-day all-cause death (hazard ratio (HR): 1.660, 95% CI: 1.136-2.427) and HF events (HR: 1.505, 95% CI: 1.145-1.978). The multivariate logistic regression analysis showed that the high plasma volume status (PVS) (Q4, odds ratio [OR]: 2.099, 95% CI: 1.429-3.082), low systolic blood pressure (SBP) (< 100 mmHg, OR: 3.825, 95% CI: 2.504-5.840), and low left ventricular ejection fraction (< 40%, OR: 1.321, 95% CI: 1.002-1.741) were associated with a high FIB4 index.A high FIB4 index can predict adverse outcomes in AHF patients, which indicate that congestive liver and liver hypoperfusion occur due to low cardiac output in the acute phase of AHF.

The Prognostic Impact of Hospital Transfer after Admission due to Acute Heart Failure.

The prognostic impact of transfer to another hospital among acute heart failure (AHF) patients has not been well elucidated.Of the 800 AHF patients analyzed, 682 patients were enrolled in this study for analysis. The subjects were divided into two groups according to their discharge location: discharge home (Group-H, n = 589) or transfer to another hospital for rehabilitation (Group-T, n = 93). The Kaplan-Meier curves revealed a poorer prognosis, including all-cause death and heart failure (HF) events (death, readmission-HF), in Group-T than that in Group-H (P < 0.001, respectively). A multivariate Cox regression model showed that Group-T was an independent predictor of 365-day all-cause death (hazard ratio: 2.618, 95% confidence interval [CI]: 1.510-4.538, P = 0.001). The multivariate logistic regression analysis showed that aging (per 1-year-old increase, odds ratio [OR]: 1.056, 95% CI: 1.028-1.085, P < 0.001), female gender (OR: 2.128, 95% CI: 1.287-3.521, P = 0.003), endotracheal intubation during hospitalization (OR: 2.074, 95% CI: 1.093-3.936, P = 0.026), and increased Controlling Nutritional Status score on admission (per 1.0-point increase, OR: 1.247, 95% CI: 1.131-1.475, P < 0.001) were associated with transfer to another hospital after AHF admission. The prognosis, including all-cause death, was determined to be significantly poorer in patients who were transferred to another hospital, as their activities of daily living were noted to lessen before discharge (n = 11) compared to others (n = 82).Elderly AHF patients suffering from malnutrition were difficult to discharge home after AHF admission, and transfer to another hospital only led to adverse outcomes. Appropriate rehabilitation during definitive hospitalization appears necessary for managing elderly patients in the HF pandemic era.

Metagenome-wide association study of gut microbiome revealed novel aetiology of rheumatoid arthritis in the Japanese population.

OBJECTIVE: The causality and pathogenic mechanism of microbiome composition remain elusive in many diseases, including autoimmune diseases such as rheumatoid arthritis (RA). This study aimed to elucidate gut microbiome's role in RA pathology by a comprehensive metagenome-wide association study (MWAS). METHODS: We conducted MWAS of the RA gut microbiome in the Japanese population (ncase=82, ncontrol=42) by using whole-genome shotgun sequencing of high depth (average 13 Gb per sample). Our MWAS consisted of three major bioinformatic analytic pipelines (phylogenetic analysis, functional gene analysis and pathway analysis). RESULTS: Phylogenetic case-control association tests showed high abundance of multiple species belonging to the genus Prevotella (e.g., Prevotella denticola) in the RA case metagenome. The non-linear machine learning method efficiently deconvoluted the case-control phylogenetic discrepancy. Gene functional assessments showed that the abundance of one redox reaction-related gene (R6FCZ7) was significantly decreased in the RA metagenome compared with controls. A variety of biological pathways including those related to metabolism (e.g., fatty acid biosynthesis and glycosaminoglycan degradation) were enriched in the case-control comparison. A population-specific link between the metagenome and host genome was identified by comparing biological pathway enrichment between the RA metagenome and the RA genome-wide association study results. No apparent discrepancy in alpha or beta diversities of metagenome was found between RA cases and controls. CONCLUSION: Our shotgun sequencing-based MWAS highlights a novel link among the gut microbiome, host genome and pathology of RA, which contributes to our understanding of the microbiome's role in RA aetiology.

Characteristics of Patients with an Abnormally Decreased Plasma Xanthine Oxidoreductase Activity in Acute Heart Failure Who Visited the Emergency Department.

BACKGROUND: The factors associated with a low plasma xanthine oxidoreductase (XOR) activity were not elucidated in patients with acute heart failure (AHF). METHODS: Two-hundred and twenty-nine AHF patients who visited the emergency department were prospectively analyzed. AHF patients were divided into 3 groups according to the plasma XOR quartiles (Q1 = low-XOR group [n = 57], Q2/Q3 = middle-XOR group [n = 115], and Q4 = high-XOR group [n = 57]). The prognostic nutritional index (PNI) and the controlling nutritional status (CONUT) score were evaluated. RESULTS: The multivariate logistic regression model showed that the nutritional status (PNI: OR 1.044, 95% CI 1.000-1.088; CONUT: OR 3.805, 95% CI 1.158-12.498), age, and serum creatinine level were independently associated with a low plasma XOR activity. The Kaplan-Meier curve showed a significantly lower incidence of heart failure events in the low-XOR group than in the middle + high-XOR group (hazard ratio, HR 1.648, 95% CI 1.061-2.559). In particular, a low XOR activity with an increased serum creatinine level (>1.21 mg/dL) was independently associated with heart failure events (HR 1.937, 95% CI 1.199-3.130). CONCLUSION: A low plasma XOR activity was associated with malnutrition, renal dysfunction, and aging in AHF. A low XOR activity complicated with renal dysfunction leads to adverse long-term outcomes.

Plasma xanthine oxidoreductase (XOR) activity in patients who require cardiovascular intensive care.

Hyperuricemia is known to be associated with adverse outcomes in cardiovascular intensive care patients, but its mechanisms are unknown. A total of 569 emergency department patients were prospectively analyzed and assigned to intensive care (ICU group, n = 431) or other departments (n = 138). Uric acid (UA) levels were significantly higher in the intensive care patients (6.3 [5.1-7.6] mg/dl vs. 5.8 [4.6-6.8] mg/dL). The plasma xanthine oxidoreductase (XOR) activity in the ICU group (68.3 [21.2-359.5] pmol/h/mL) was also significantly higher than that in other departments (37.2 [15.1-93.6] pmol/h/mL). Intensive care patients were divided into three groups according to plasma XOR quartiles (Q1, low-XOR, Q2/Q3, normal-XOR, and Q4, high-XOR group). A multivariate logistic regression model showed that lactate (per 1.0 mmol/L increase, OR 1.326; 95%, CI 1.166-1.508, p < 0.001) and the Acute Physiology and Chronic Health Evaluation II score (per 1.0 point increase, OR 1.095, 95% CI 1.034-1.160, p = 0.002) were independently associated with the high-XOR group. In-hospital mortality was significantly higher in the high-XOR group (n = 28, 26.2%) than in the normal- (n = 11, 5.1%) and low- (n = 9, 8.3%) XOR groups. The high-XOR group (vs. normal-XOR group) was independently associated with the in-hospital mortality (OR 2.934; 95% CI 1.170-7.358; p = 0.022). Serum UA levels and plasma XOR activity were high in patients admitted to intensive care. The enhanced XOR activity may be one of the mechanisms under which hyperuricemia was associated with adverse outcomes in patients requiring cardiovascular intensive care.

Integration of genetics and miRNA-target gene network identified disease biology implicated in tissue specificity.

MicroRNAs (miRNAs) modulate the post-transcriptional regulation of target genes and are related to biology of complex human traits, but genetic landscape of miRNAs remains largely unknown. Given the strikingly tissue-specific miRNA expression profiles, we here expand a previous method to quantitatively evaluate enrichment of genome-wide association study (GWAS) signals on miRNA-target gene networks (MIGWAS) to further estimate tissue-specific enrichment. Our approach integrates tissue-specific expression profiles of miRNAs (∼1800 miRNAs in 179 cells) with GWAS to test whether polygenic signals enrich in miRNA-target gene networks and whether they fall within specific tissues. We applied MIGWAS to 49 GWASs (nTotal = 3 520 246), and successfully identified biologically relevant tissues. Further, MIGWAS could point miRNAs as candidate biomarkers of the trait. As an illustrative example, we performed differentially expressed miRNA analysis between rheumatoid arthritis (RA) patients and healthy controls (n = 63). We identified novel biomarker miRNAs (e.g. hsa-miR-762) by integrating differentially expressed miRNAs with MIGWAS results for RA, as well as novel associated loci with significant genetic risk (rs56656810 at MIR762 at 16q11; n = 91 482, P = 3.6 × 10-8). Our result highlighted that miRNA-target gene network contributes to human disease genetics in a cell type-specific manner, which could yield an efficient screening of miRNAs as promising biomarkers.

Mechanisms of Urgently Presenting Acute Heart Failure.

The mechanisms of urgently presenting acute heart failure (AHF) are not clear. We evaluated the serum catecholamine values of AHF patients immediately after admission. A total of 1,475 AHF patients were screened, and 484 who were admitted from their homes and in whom serum catecholamine could be evaluated immediately after admission were analyzed. The patients were divided into three groups according to the time interval from the onset of symptoms to admission (OA): < 3 hours (early-OA group; n = 283), 3-24 hours (middle-OA group; n = 142), and ≥24 hours (late-OA group; n = 59). In the early-OA group, the systolic blood pressure (SBP) was significantly higher, orthopnea was more frequent, the pH value was significantly decreased, and the use of noninvasive positive-pressure ventilation was required significantly more often than in the other groups. The serum noradrenaline level was significantly increased in the early-OA group (1.96 [1.02-3.60] ng/mL) than in the middle-OA (1.49 [0.73-3.41] ng/mL) and late-OA (1.40 [0.91-2.42] ng/mL) groups, and the adrenaline level was significantly increased in the early-OA group (0.36 [0.13-1.17] ng/mL) than in the late-OA (0.22 [0.09-0.52] ng/mL) group. A multivariate logistic regression model indicated the early-OA group was independently associated with the SBP > 140 mmHg (odds ratio [OR]: 2.219, 95% CI: 1.375-3.581), midnight/early morning admission (OR: 3.158, 95% CI: 2.048-4.868), and high serum catecholamine value (adrenaline > 0.96 ng/mL, noradrenaline > 3.39 ng/mL, and dopamine > 0.21 ng/mL) (OR 2.091, 95% CI: 1.161-3.767). In conclusion, urgently presented AHF might be induced by an endogenous catecholamine surge, which causes an excessive rise in blood pressure leading to increased after-overload and volume-shift lung congestion.

Up-regulation of CD64 Expression on Monocytes in Patients With Active Adult-Onset Still Disease: A Possible Biomarker of Disease Activity.

OBJECTIVES: In this study, we investigated whether monocyte CD64 (mCD64) expression is correlated with disease activity in patients with adult-onset Still disease (AOSD) and whether it could be used to distinguish between active and inactive disease states. METHODS: We reviewed a series of 10 patients with a definite diagnosis of AOSD, recruited from January 2013 to December 2016. We used flow cytometry to quantitatively measure mCD64 expression levels in patients presenting with active and inactive disease states and statistically analyzed the corresponding changes. RESULTS: The mean ± SD values of mCD64 expression levels in patients with active and inactive disease states were 77,148.3 ± 39,066.3 and 19,225.8 ± 7006.2 molecules/cell, respectively, indicating significantly higher mCD64 expression in the active state than in the inactive state (p = 0.005). Receiver operating characteristic analysis with a cutoff value of 31,796.0 molecules/cell was applied to distinguish active from inactive disease states; the sensitivity and specificity were both 100%. In these patients, only the mCD64 expression levels changed in parallel with disease activity under tocilizumab treatment; other conventional biomarkers measured showed no changes. CONCLUSIONS: Monocyte CD64 expression could be used to clearly distinguish between active and inactive AOSD. Thus, mCD64 could be a promising biomarker for evaluating the disease activity of AOSD, even in patients receiving tocilizumab treatment.

Prognostic benefit of maintaining the hemoglobin level during the acute phase in patients with severely decompensated acute heart failure.

The optimum method of managing anemia during the acute phase of acute heart failure (AHF) remains to be elucidated. The data from 1109 AHF patients were enrolled in present study. The hemoglobin (Hb) levels were evaluated in all patients at admission (day 1) and 3 days after admission (day 3), and in survival discharge patients (n = 998) before discharge (pre-discharge). The serum hemoglobin levels were significantly lower on day 3 (11.2 (9.6-12.9) g/dl) than on day 1 (12.4 (10.4-14.2) g/dl) and at pre-discharge (11.6 (10.1-13.2) g/dl). A multivariate Cox regression model showed that mild anemia (11.0 ≤ Hb ≤ 12.9 g/dl, n = 316) and severe anemia (Hb ≤ 10.9 g/dl, n = 517) on day 3 were independent predictors of HF event (hazard ratio (HR) 1.542, 95% confidence interval (CI)1.070-2.221, HR 2.026, 95% CI 1.439-2.853), and severe anemia on day 3 were independent predictors of 365-day mortality (HR 2.247, 95% CI 1.376-3.670). The prognosis, including all-cause death and HF events, in patients with non-anemia on day 1 was significantly poorer in severe new-anemia patients on day 3 (n = 44) than in mild new-anemia patients on day 3 (n = 153) and non-anemia patients on day 3 (n = 252). In patients with anemia on day 1, the prognosis was significantly poorer in patients with severe anemia on day 3 (n = 190) than in those with non-anemia or mild anemia on day 3 (n = 482). The hemoglobin level after the initial treatment might be easily influenced by clinical decongestion. Successfully treated decongestion can help maintain the hemoglobin levels. It, therefore, leads to a prognostic benefit in patients with AHF. These findings might underscore the importance of hemoglobin management of the acute phase of AHF.

The prognostic impact of malnutrition in patients with severely decompensated acute heart failure, as assessed using the Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score.

Patients with heart failure (HF) are sometimes classified as malnourished, but the prognostic value of nutritional status in acute HF (AHF) remains largely unstudied. 1214 patients who were admitted to the intensive care unit between January 2000 and June 2016 were screened based on their serum albumin, lymphocyte count, and total cholesterol measures. A total of 458 HF patients were enrolled in this study. The Prognostic Nutritional Index (PNI) is calculated as 10 × serum albumin (g/dL) + 0.005 × lymphocyte count (per mm3) (lower = worse). The Controlling Nutritional Status (CONUT) score is points based, and is calculated using serum albumin, total cholesterol, and lymphocyte count (range 0-12, higher = worse). Patients were divided into three groups according to PNI: high-PNI (PNI < 35, n = 331), middle-PNI (35 ≤ PNI < 38, n = 50), and low-PNI (PNI ≥ 38, n = 77). They were also divided into four groups according to CONUT score: normal-CONUT (0-1, n = 128), mild-CONUT (2-4, n = 179), moderate-CONUT (5-8, n = 127), and severe-CONUT (≥9, n = 24). The PNI, which exhibited a good balance between sensitivity and specificity for predicting in-hospital mortality [66.1 and 68.4%, respectively; area under the curve (AUC) 0.716; 95% confidence interval (CI) 0.638-0.793), was 39.7 overall, while the CONUT score was 5 overall (61.4 and 68.4%, respectively; AUC 0.697; 95% CI 0.618-0.775). A Kaplan-Meier curve indicated that the prognosis, including all-cause death, was significantly (p < 0.001) poorer in low-PNI patients than in high-PNI groups and was also significantly poorer in severe-CONUT patients than in normal-CONUT and mild-CONUT groups. A multivariate Cox regression model showed that the low-PNI and severe-CONUT categories were independent predictors of 365-day mortality [hazard ratio (HR) 2.060, 95% CI 1.302-3.259 and HR 2.238, 95% CI 1.050-4.772, respectively). Malnutrition, as assessed using both the PNI and the CONUT score, has a prognostic impact in patients with severely decompensated AHF.