Literature DB >> 34879094

Serum syndecan-1 concentration in hospitalized patients with heart failure may predict readmission-free survival.

Yuichiro Kitagawa1, Itta Kawamura2, Keiko Suzuki3, Hideshi Okada1, Takuma Ishihara4, Hiroyuki Tomita5, Kodai Suzuki1, Chihiro Takada1, So Sampei1, Soichiro Kano1, Kohei Kondo1, Hirotaka Asano1, Yugo Wakayama1, Ryo Kamidani1, Yuki Kawasaki1, Hirotsugu Fukuda1, Ayane Nishio1, Takahito Miyake1, Tetsuya Fukuta1, Ryu Yasuda6, Hideaki Oiwa1, Yoshinori Kakino1, Nagisa Miyazaki7, Takatomo Watanabe8, Takahiro Yoshida1, Tomoaki Doi1, Akio Suzuki3, Shozo Yoshida6, Hitoshi Matsuo2, Shinji Ogura1.   

Abstract

Syndecan-1 is found in the endothelial glycocalyx and is released into the bloodstream during stressed conditions, including severe diseases such as acute kidney injury, chronic kidney disease, and cardiovascular disease. This study investigated the prognostic value of serum syndecan-1 concentration in patients with heart failure upon admission. Serum syndecan-1 concentration was analyzed in 152 patients who were hospitalized for worsening heart failure from September 2017 to June 2018. The primary outcome of the study was readmission-free survival, defined as the time from the first admission to readmission for worsened heart failure or death from any cause, which was assessed at 30 months after discharge from the hospital. The secondary outcome of the study was survival time. Blood samples and echocardiogram data were analyzed. Univariate and multivariable time-dependent Cox regression analyses adjusted for age, creatinine levels, and use of antibiotics were conducted. The serum syndecan-1 concentration was significantly associated with readmission-free survival. Subsequently, the syndecan-1 concentration may have gradually decreased with treatment. The administration of human atrial natriuretic peptide and antibiotics may have modified the relationship between readmission-free survival and serum syndecan-1 concentration (p = 0.01 and 0.008, respectively). Serum syndecan-1 concentrations, which may indicate injury to the endothelial glycocalyx, predict readmission-free survival in patients with heart failure.

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Year:  2021        PMID: 34879094      PMCID: PMC8654157          DOI: 10.1371/journal.pone.0260350

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Decompensated heart failure is defined as a clinical syndrome in which a structural or functional change in the heart leads to its inability to eject and/or accommodate blood within the physiological pressure levels [1]. As the pathophysiology of decompensated heart failure is complicated and heterogeneous [2], an accurate assessment of severity remains a significant challenge. It is important to predict the prognosis of patients with heart failure to provide precise medical care. Currently, risk stratification of patients with non-ischemic heart failure is commonly based on clinical parameters, such as the New York Heart Association class; echocardiographic parameters, such as left ventricular ejection fraction (LVEF); and blood markers, such as the level of a 76-amino acid N-terminal fragment in the prohormone called B-type natriuretic peptide and brain natriuretic peptide [3, 4]. However, the use of plasma brain natriuretic peptide, while very valuable in differentiating heart failure from noncardiac causes of acute dyspnea [5], is debatable as a prognostic marker [6-8]. Currently, there is no class I indication in the guidelines for the use of specific biomarkers for prognostic purposes [9, 10]. Pleural effusions are commonly recognized in patients with congestive heart failure. Transudative pleural effusion is caused by various factors such as increasing capillary hydrostatic pressure or decreasing colloid oncotic pressure. The sugar–protein glycocalyx covers the surface of a healthy vascular endothelium [11-13] and maintains vascular homeostasis, such as by regulating an oncotic gradient across the endothelial barrier [14-18]. The endothelial glycocalyx may get injured under abnormal conditions such as sepsis, diabetes, and hypertension, thereby increasing vascular permeability [15, 19, 20]. The removal of glycocalyx has been known to cause a dramatic increase in hydraulic permeability [21]. Furthermore, previous studies have found that rapid plasma volume expansion injured the endothelial glycocalyx [22]. The endothelial glycocalyx consists of cell-bound proteoglycans, glycosaminoglycan side chains, and sialoproteins [23-25]. Proteoglycans are composed of a core protein, such as a syndecan family protein, to which glycosaminoglycan is linked. Syndecan-1 is the core protein in heparan sulfate proteoglycan, which is also found in the endothelial glycocalyx. Syndecan-1 detaches from the endothelium upon glycocalyx injury, thereby increasing its serum concentration [26]. Therefore, serum syndecan-1 has been used as a marker of endothelial injury in recent clinical studies [27, 28]. Because the pulmonary capillary glycocalyx is thinner than other organs [29], it may be easily injured by excess fluid. Therefore, transudative pleural effusion may occur due to heart failure. Moreover, the concentration of serum syndecan-1 has been found to be associated with clinical outcomes in patients with heart failure and preserved ejection fraction [30]. Additionally, it has been suggested that syndecan-1 is associated with left ventricular hypertrophy in heart failure with preserved ejection fraction [31]. Therefore, in this study, we investigated the prognostic value of serum syndecan-1 concentration upon admission in patients with heart failure.

Materials and methods

Patient profile

Patients who were hospitalized at Gifu Heart Center due to worsening heart failure between September 2017 and June 2018 were included in this study. Those who were <20 years old and/or had acute coronary syndrome, malignant tumor, liver cirrhosis, collagen disease, and hemodialysis were excluded from the analysis. Overall, 152 patients were enrolled in this study, and 784 samples were obtained.

Data collection and study design

Demographic and clinical data, including medical and medication histories, were collected. The following data were included in the time-dependent Cox regression model: age, sex, serum albumin, aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatine kinase (CK), triglyceride, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, blood urea nitrogen (BUN), creatinine (Cre) concentration, sodium, potassium, chlorine, C-reactive protein, estimated glomerular filtration rate (eGFR), white blood cell number, hemoglobin (Hb) concentration, hematocrit (Ht), hemoglobin A1c, left ventricular diastolic diameter (LVDd), left ventricular systolic diameter (LVDs), interventricular septum thickness (IVST), posterior wall thickness (PWT), LVEF, left atrial dimension (LAD), left atrial volume index (LAVI), and the diameter of the inferior vena cava (IVC). Echocardiography was performed at the time of admission. Blood samples were obtained when the physician deemed it necessary, and they were collected into the sample collection tube with a serum separating medium. The serum was collected and preserved in a freezer at −80 °C. Serum syndecan-1 concentrations were measured using enzyme-linked immunosorbent assay (950.640.192, Diaclone, Besancon, Cedex, France). Sequential samples from the same patient were examined in the same enzyme-linked immunosorbent assay plate to avoid inter-assay variability. The primary outcome of the study was readmission-free survival, defined as the time from the first admission to readmission for worsened heart failure or death from any cause, which was assessed at 30 months after discharge from the hospital. The secondary outcome of the study was survival time.

Statistical analyses

Descriptive statistics are presented as frequencies and percentages for categorical variables and as medians with interquartile ranges for continuous variables. For the time-to-event analyses, enrolled patients were monitored from the study initiation until December 2019. Cumulative readmission-free survival rates, stratified by median of serum syndecan-1 concentration at baseline, were obtained with Kaplan–Meier estimation. To assess the effect of serum syndecan-1 concentration on readmission-free survival time and mortality, time-dependent Cox proportional hazards multivariable regression analyses were performed. Covariates in the model, including age [32, 33], Cre [33-36], and antibiotic use, indicating the presence of an infectious disease [18, 27, 28, 37], were selected a priori for their clinical relevance. Serum syndecan-1 concentration, Cre, and antibiotic use were treated as time-dependent covariates in the model. Additionally, serum syndecan-1 concentration was modeled using a restricted cubic spline to allow for nonlinear associations. Furthermore, to assess whether the effects of serum syndecan-1 concentration were modified by blood and echocardiogram parameters, a cross-product term between serum syndecan-1 concentration and variables of parameters was included in the time-dependent Cox regression (i.e., interaction) analysis. A two-sided significance level of 0.05 was used for all statistical inferences. All data analyses were performed using the R statistical software, version 3.6.2 (R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.).

Ethics statement

The investigation conformed with the principles outlined in the Declaration of Helsinki [38]. Ethics approval was obtained from the medical ethics committee of Gifu University Graduate School of Medicine, Gifu, Japan (record no.: 29–216), and Gifu Heart Center, Gifu, Japan (record no.: 2017022). All patients provided written informed consent for their participation in the study as well as for the publication of this report.

Results

Patient characteristics

The demographic data of patients are presented in Table 1. Altogether, 152 patients (94 men and 58 women) with a median age of 76 (range, 68–85) years were enrolled in the study. These patients had basal heart disease, and all patients received medications, including various combinations. Differences in syndecan-1 concentrations among patients with different origins of heart failure are shown in S1 Table and those among patients with heart failure due to different medications are shown in S2 Table.
Table 1

Patients’ demographics.

CharacteristicsN = 152
Age (years), median (IQR) 76 (68–85)
Sex (Female/Male), n (%) 58 (38.2) / 94 (61.8)
Follow-up time per patient (days), median (IQR) 23 (11–230)
Number of measurements per patient, median (IQR) 4 (3–6)
Death, n (%) 21 (13.8)
Readmission, n (%) 46 (30.3)
Basal heart disease, n (%)
 Hypertensive heart disease 26 (17.1)
 Ischemic heart disease (post-PCI) 21 (13.8)
 Ischemic heart disease (post-CABG) 12 (8.9)
 Ischemic heart disease (conservative treatment) 7 (4.6)
 Arrhythmia (tachycardia) 20 (13.2)
 Arrhythmia (bradycardia) 1 (0.7)
 Dilated cardiomyopathy 17 (11.2)
 Hypertrophic cardiomyopathy 5 (3.3)
 Other cardiomyopathy 6 (4.0)
 Aortic valve stenosis (post-operation) 6 (4.0)
 Aortic valve stenosis (conservative treatment) 3 (2.0)
 Aortic valve insufficiency (post-operation) 1 (0.7)
 Aortic valve insufficiency (conservative treatment) 5 (3.3)
 Mitral valve insufficiency (post-operation) 3 (2.0)
 Mitral valve insufficiency (conservative treatment) 8 (5.3)
 Tricuspid valve insufficiency (conservative treatment) 3 (2.0)
 Congestive disease 2 (1.3)
 Other 6 (3.9)
Medication, n (%)
 Beta blocker 123 (80.9)
 ACE inhibitor/ARB 100 (65.8)
 Statin 61 (40.1)
 Antiplatelet 65 (42.8)
 Anticoagulant 76 (50.0)
 Loop diuretic 136 (89.5)
 Spironolactone 100 (65.8)
 Tolvaptan 60 (39.5)
 Catecholamine 23 (15.1)
 Human atrial natriuretic peptide 96 (63.2)
 Antibiotic 43 (28.3)
Echocardiographic characteristics, median (IQR)
 LVDd (mm) 53.2 (46.0–58.1)
 LVDs (mm) 41.4 (30.4–51.0)
 IVST (mm) 9.0 (8.3–9.7)
 PWT (mm) 9.3 (8.4–10.2)
 LVEF (%) 40.5 (25.6–59.6)
 LAD (mm) 46.7 (43.7–52.0)
 LAVI 60.2 (47.4–67.7)
 IVC (mm) 8.6 (6.4–12.1)

IQR: interquartile range, PCI: percutaneous coronary intervention, CABG: coronary artery bypass grafting, ACE: angiotensin-converting enzyme, ARB: angiotensin II receptor blocker, LVDd: left ventricular diastolic diameter, LVDs: left ventricular systolic diameter, IVST: interventricular septum thickness, PWT: posterior wall thickness, LVEF: left ventricular ejection fraction, LAD: left atrial dimension, LAVI: left atrial volume index, IVC: diameter of the inferior vena cava.

IQR: interquartile range, PCI: percutaneous coronary intervention, CABG: coronary artery bypass grafting, ACE: angiotensin-converting enzyme, ARB: angiotensin II receptor blocker, LVDd: left ventricular diastolic diameter, LVDs: left ventricular systolic diameter, IVST: interventricular septum thickness, PWT: posterior wall thickness, LVEF: left ventricular ejection fraction, LAD: left atrial dimension, LAVI: left atrial volume index, IVC: diameter of the inferior vena cava.

Serum syndecan-1 and readmission-free survival in patients with heart failure

The Kaplan–Meier curve showed that the median readmission-free survival time, stratified by median of serum syndecan-1 concentration at baseline, was 331 (<33.48 ng/mL) and 239 (≥33.48 ng/mL) days (Fig 1). The median readmission-free survival time of all patients was 288 days (event number = 67, 95% confidence interval [CI]: 227–356). Univariate and multivariable time-dependent Cox regression analyses adjusted for age, Cre, and antibiotic use, excluding the effect of infection, were conducted (Table 2 and Fig 2). We evaluated the effect on readmission-free survival using hazard ratios (HRs) when the value of serum syndecan-1 concentration changed from median among all data including repeated measurements (37.04 ng/mL) to 50 ng/mL, 100 ng/mL, 200 ng/mL, 300 ng/mL, and 400 ng/mL. With a change in serum syndecan-1 concentration from 37.04 ng/mL to 300 ng/mL, the unadjusted time-dependent Cox proportional hazards model revealed an association between serum syndecan-1 concentration and readmission-free survival (HR, 1.687; 95% CI, 1.1–2.585; p = 0.016). The analysis adjusted for covariates also showed that the serum syndecan-1 concentration was associated with readmission-free survival (HR, 1.865; 95% CI, 1.169–2.974; p = 0.009). The increase in serum syndecan-1 concentration from 37.04 ng/mL to 300 ng/mL was associated with an approximately 1.9-fold increase in the risk of readmission-free survival after adjusting for confounders.
Fig 1

Kaplan–Meier curve of groups stratified by median of serum syndecan-1 concentration at baseline.

The median readmission-free survival times of groups stratified by median of serum syndecan-1 concentration are 331 (<33.48 ng/mL) and 239 (≥33.48 ng/mL) days. The number of events is 30 (<33.48 ng/mL) and 36 (≥33.48 ng/mL).

Table 2

The relationship between serum syndecan-1 concentration and readmission /death.

Univariate analysisMultivariable analysis
HR95% CIP valueHR95% CIP value
Syndecan-1 (ng/mL) 0.981 0.85–1.133 0.798 1 0.873–1.145 >0.999
37.04 (median)–50
Syndecan-1 (ng/mL) 0.994 0.631–1.567 0.981 1.061 0.691–1.629 0.787
37.04 (median)–100
Syndecan-1 (ng/mL) 1.271 0.796–2.03 0.316 1.388 0.875–2.204 0.164
37.04 (median)–200
Syndecan-1 (ng/mL) 1.687 1.1–2.585 0.016 1.865 1.169–2.974 0.009
37.04 (median)–300
Syndecan-1 (ng/mL) 2.238 1.423–3.521 <0.001 2.504 1.457–4.305 0.001
37.04 (median)–400
Age (years) 1.015 0.994–1.038 0.168 1.011 0.989–1.033 0.336
Sex (Male) 0.673 0.417–1.088 0.106 0.644 0.382–1.087 0.099
Creatinine (mg/dL) 1.424 1.054–1.924 0.021 1.442 1.059–1.964 0.02
Antibiotics (Yes/No) 1.051 0.372–2.968 0.925 0.892 0.309–2.574 0.833
Sodium (mEq/L) 1.038 0.958–1.124 0.363 - - -
eGFR(mL/min/1.73m) 0.989 0.973–1.006 0.212 - - -
Hb (g/dL) 0.95 0.84–1.075 0.417 - - -

HR: hazard ratio, CI: confidence interval, eGFR: estimated glomerular filtration rate, Hb: hemoglobin

Fig 2

The relationship between serum syndecan-1 concentration and readmission-free survival.

Univariate and multivariable time-dependent Cox regression model adjusted for age, creatinine (Cre), and antibiotic use. (A) The unadjusted time-dependent Cox proportional hazards model. Serum syndecan-1 concentration is associated with readmission-free survival (hazard ratio [HR] for 300 ng/mL of serum syndecan-1 to median, 1.687; 95% confidence interval [CI], 1.1–2.585, p = 0.016). (B) The multivariable time-dependent Cox proportional hazards model. Serum syndecan-1 concentration is associated with readmission-free survival even after adjusting for covariates (HR for 300 ng/mL of serum syndecan-1 to median: 1.865, 95% CI: 1.169–2.974, p = 0.009).

Kaplan–Meier curve of groups stratified by median of serum syndecan-1 concentration at baseline.

The median readmission-free survival times of groups stratified by median of serum syndecan-1 concentration are 331 (<33.48 ng/mL) and 239 (≥33.48 ng/mL) days. The number of events is 30 (<33.48 ng/mL) and 36 (≥33.48 ng/mL).

The relationship between serum syndecan-1 concentration and readmission-free survival.

Univariate and multivariable time-dependent Cox regression model adjusted for age, creatinine (Cre), and antibiotic use. (A) The unadjusted time-dependent Cox proportional hazards model. Serum syndecan-1 concentration is associated with readmission-free survival (hazard ratio [HR] for 300 ng/mL of serum syndecan-1 to median, 1.687; 95% confidence interval [CI], 1.1–2.585, p = 0.016). (B) The multivariable time-dependent Cox proportional hazards model. Serum syndecan-1 concentration is associated with readmission-free survival even after adjusting for covariates (HR for 300 ng/mL of serum syndecan-1 to median: 1.865, 95% CI: 1.169–2.974, p = 0.009). HR: hazard ratio, CI: confidence interval, eGFR: estimated glomerular filtration rate, Hb: hemoglobin The average concentration of syndecan-1 in serum was 72.4 ng/mL (95% CI, 37.5–107.2) upon admission, which peaked at 101.21 ng/mL (95% CI, 69.77–132.66 ng/mL) at 2.77 days after admission. Subsequently, the syndecan-1 concentration decreased gradually, probably as a result of treatment (Fig 3).
Fig 3

Time course of serum syndecan-1 concentration after admission.

The concentration of syndecan-1 in serum was 72.4 ng/mL (95% confidence interval [CI], 37.5–107.2) at admission and peaked at 101.21 ng/mL (95% CI, 69.77–132.66) approximately 2.77 days after admission. Subsequently, syndecan-1 concentration decreased gradually.

Time course of serum syndecan-1 concentration after admission.

The concentration of syndecan-1 in serum was 72.4 ng/mL (95% confidence interval [CI], 37.5–107.2) at admission and peaked at 101.21 ng/mL (95% CI, 69.77–132.66) approximately 2.77 days after admission. Subsequently, syndecan-1 concentration decreased gradually. Table 3 shows the p-values for interaction of the parameters modifying the relationship between readmission-free survival and serum syndecan-1 concentration. The administration of human atrial natriuretic peptide and antibiotics appeared to modify the relationship between readmission-free survival and serum syndecan-1 concentration (p for interaction = 0.01 and 0.008, respectively; Fig 4). Moreover, AST, ALT, CK, BUN, Hb, Ht, PWT, and LAVI appeared to modify the relationship due to heart failure (p for interaction, 0.021, 0.001, <0.001, 0.003, 0.014, 0.004, 0.045, and 0.031, respectively; Fig 4 and S1 Fig). Likewise, BUN/Cre appeared to modify the relationship due to heart failure (S3 Table). Conversely, the LVEF did not appear to modify the relationship between readmission-free survival and serum syndecan-1 concentration (p for interaction = 0.418).
Table 3

Predictors for readmission/death interacting with syndecan-1.

Predictor namesp for interaction
Beta blockers 0.885
ACE inhibitor/ARB 0.661
Statins 0.495
Antiplatelets 0.161
Anticoagulants 0.895
Loop diuretics 0.248
Spironolactone 0.021
Tolvaptan 0.205
Catecholamine 0.175
Human atrial natriuretic peptide 0.007
Antibiotics 0.008
Albumin 0.476
Aspartate aminotransferase 0.023
Alanine transaminase 0.002
Creatinine kinase <0.001
Triglyceride 0.995
Total cholesterol 0.485
High density lipoprotein-cholesterol 0.576
Low density lipoprotein-cholesterol 0.605
Blood urea nitrogen <0.001
Creatinine 0.016
Sodium 0.073
Potassium 0.325
Chlorine 0.383
C-reactive protein 0.262
Estimated glomerular filtration rate 0.244
White blood cells number 0.12
Hemoglobin concentration 0.009
Hematocrit 0.005
Hemoglobin A1c 0.788
LVDd 0.841
LVDs 0.685
IVST 0.51
PWT 0.03
LVEF 0.418
LAD 0.39
LAVI 0.026
IVC 0.284

ACE: angiotensin-converting enzyme, ARB: angiotensin II receptor blocker, LVDd: left ventricular diastolic diameter, LVDs: left ventricular systolic diameter, IVST: interventricular septum thickness, PWT: posterior wall thickness, LVEF: left ventricular ejection fraction, LAD: left atrial dimension, LAVI: left atrial volume index, IVC: diameter of the inferior vena cava.

Fig 4

Interaction effects showing that the parameters modify the relationship between readmission-free survival and serum syndecan-1 concentration.

(A) spironolactone, (B) human atrial natriuretic peptide, (C) antibiotics, (D) aspartate aminotransferase (AST), (E) alanine aminotransferase (ALT), (F) creatine kinase (CK), (G) blood urea nitrogen (BUN), (H) creatinine (Cre), (I) hemoglobin concentration (Hb), (J) hematocrit (Ht), (K) posterior wall thickness (PWT), and (L) left atrial volume index (LAVI). Black, orange, and blue lines indicate the 25th percentile, mean, and 75th percentile of each parameter, respectively.

Interaction effects showing that the parameters modify the relationship between readmission-free survival and serum syndecan-1 concentration.

(A) spironolactone, (B) human atrial natriuretic peptide, (C) antibiotics, (D) aspartate aminotransferase (AST), (E) alanine aminotransferase (ALT), (F) creatine kinase (CK), (G) blood urea nitrogen (BUN), (H) creatinine (Cre), (I) hemoglobin concentration (Hb), (J) hematocrit (Ht), (K) posterior wall thickness (PWT), and (L) left atrial volume index (LAVI). Black, orange, and blue lines indicate the 25th percentile, mean, and 75th percentile of each parameter, respectively. ACE: angiotensin-converting enzyme, ARB: angiotensin II receptor blocker, LVDd: left ventricular diastolic diameter, LVDs: left ventricular systolic diameter, IVST: interventricular septum thickness, PWT: posterior wall thickness, LVEF: left ventricular ejection fraction, LAD: left atrial dimension, LAVI: left atrial volume index, IVC: diameter of the inferior vena cava.

Discussion

The present study revealed that serum syndecan-1 concentration: 1) was higher in patients with heart failure than in healthy subjects from previous reports [33], 2) responded promptly to treatment against heart failure, and 3) might predict readmission-free survival in patients with heart failure.

Serum syndecan-1 concentration in heart failure

A previous study has also reported that syndecan-1 concentration was associated with clinical outcomes in patients with heart failure and with preserved ejection fraction [30]. The serum syndecan-1 concentration in patients with heart failure in this study was 72.4 ng/mL at admission, which peaked to 101.21 ng/mL on day 3 of admission. Although values are higher than those reported in our previous studies, where the serum syndecan-1 concentration was 13.7–27.3 ng/mL in healthy individuals [33], the origin of syndecan-1 remains controversial.

Serum syndecan-1 concentration responded promptly to treatment

Syndecan-1 exists on the surface of several cell types [39-41]. A previous report has revealed that tissue syndecan-1 expression was associated with cardiac fibrosis [42]. However, the present study indicated that syndecan-1 concentration gradually decreased after admission with treatment. If syndecan-1 is the marker of fibrosis, syndecan-1 concentration should not decrease promptly with treatment. Conversely, syndecan-1 exists on the surface of systemic vascular endothelial cells and may be released into the serum because of various reasons [41, 43]. Because rapid expansion of plasma volume causes injury to the endothelial glycocalyx [22], syndecan-1, a core protein of the endothelial glycocalyx, may be released into the serum, thereby increasing its concentration in circulation. Moreover, because the turnover of syndecan-1 expression on the pulmonary capillaries is rapid [44], its concentration may sharply increase in the systemic fluid volume. In brief, syndecan-1 may be a perceptive marker for assessing the state of volume overload through the state of heart failure. Achieving readmission-free survival for patients with heart failure with high syndecan-1 concentration was simple in the present study because the systemic fluid volume was abundant, despite the patients having received the treatment.

Serum syndecan-1 concentration and readmission-free survival

Several factors modified the relationship between readmission-free survival and serum syndecan-1 concentration. Increased syndecan-1 concentration after administration of hANP may indicate unsatisfactory control of congestion. Using antibiotics may pose complications of infection such as pneumonia. Moreover, increased ALT and AST concentrations may represent congestive hepatopathy. Low CK and BUN concentrations also appeared to modify the relationship due to heart failure in patients with low syndecan-1 concentration. These parameters may indicate low nutrition status. Patients with heart failure often suffer from muscle atrophy because of chronic low nutrition and frailty [45]. In fact, muscle weakness reportedly affects the prognosis and progression of cardiovascular disease [46]. These results suggest that low nutrition status and excess fluid volume worsen the prognosis of heart failure. The present study also showed that Hb and Ht modified the relationship between readmission-free survival and serum syndecan-1 concentration. This may be because the hemoconcentration increased wall shear stress and degraded endothelial glycocalyx [47, 48], which were related to syndecan-1 concentrations [33]. Moreover, echocardiography revealed that PWT and LAVI modified the relationship between readmission-free survival and serum syndecan-1 concentration. We believe that these parameters have a direct relationship with heart failure. Left ventricular hypertrophy has a strong relationship with cardiovascular events such as myocardial infarction and sudden death [49, 50]. Increase in LAVI indicates a complication in atrial fibrillation, which can lead to heart failure and vice versa [51]. Here, we used the time-dependent Cox regression model to account for multiple measurements on a person [52]. This model is an extension of the Cox regression model that only considers risk factors at baseline. Hence, the time-dependent Cox model has the advantage of being able to assess risk posed by syndecan-1 concentration at each measurement point. Specifically, it allows us to assess the association between outcome (readmission or death) at the next measurement and syndecan-1 concentration at the previous measurement at each measurement point.

Limitations

As a limitation of the present work, the patients included in the study were not classified according to the New York Heart Association functional classification. However, our aim was not to create a diagnostic model but to evaluate the association between syndecan-1 concentration and outcome. In addition, the sample size was small, and data were obtained from a single institution. Therefore, further large scale studies are needed to confirm our findings.

Conclusions

In conclusion, serum syndecan-1 concentrations, which may indicate injury to the endothelial glycocalyx, can predict readmission-free survival in patients with heart failure. Additionally, the syndecan-1 concentration may be a fluid volume marker for heart failure and may be useful in its management.

Age and sex appeared to modify the relationship due to heart failure.

(TIF) Click here for additional data file.

Basal heart disease.

(DOCX) Click here for additional data file.

Medication.

(DOCX) Click here for additional data file.

The association between BUN/Cre and syndecan-1 concentration.

(DOCX) Click here for additional data file. 12 Jul 2021 PONE-D-21-12372 Serum syndecan-1 concentration in hospitalized patients with heart failure may predict readmission-free survival PLOS ONE Dear Dr. Okada, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. ACADEMIC EDITOR: All issues raised by expert reviewers are required. In particular, the authors should highlight limitations of the study and include in the title that it is a pilot study. Moreover, the authors should better characterize the clinical, hemodynamics and echocardiographic profile of the patients. Please submit your revised manuscript by Aug 16 2021 11:59PM. 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We will update your Data Availability statement on your behalf to reflect the information you provide. 3. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information. 4. Your ethics statement should only appear in the Methods section of your manuscript. If your ethics statement is written in any section besides the Methods, please delete it from any other section. Additional Editor Comments (if provided): [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: No Reviewer #2: Yes Reviewer #3: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: No Reviewer #2: Yes Reviewer #3: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: No Reviewer #2: Yes Reviewer #3: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: No Reviewer #3: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: the Authors examined if circulating values of syndecan-1, a protein released from the endothelial glicocalix into the bloodstream following endothelial damage, holds prognostic significance in patients with acute heart failure. Although the study is original, the study has important limitations that do not allow a meaningful interpretation of results. First, this is a retrospective study evaluating a small number of patients from a single center. Second, readmission-free survival was defined as the time to readmission for worsened heart failure or death from any cause, which is not acceptable. Third, the model for multivariable adjustment was arbitrarily selected and did not include established outcome predictors such as natriuretic peptides or left ventricular ejection fraction. Reviewer #2: The paper presents some originality concerning association of syndecan-1 concentration and patients readmission-free survival. Statistical methods are valid, correctly applied, and sufficiently documented to allow replication studies. If it is possible for authors to explain why did they choose antibiotics for univariate and multivariable time-dependent Cox regression analyses adjustments, instead of heart failure medication? And to outline why did the participants in the study used antibiotics at al, because this kind of therapy may interfere with the results, e.g. syndecan-1 plasma concentration. The authors should also check the abbreviations in the text. I also recommend that data should not be repeated in the tables and in the body text, (e.g. medication, or underlying causes for heart failure). The authors may update the reference list with this relevant publication about syndecan-1 in heart failure patients. Mitic VT, Stojanovic DR, Deljanin Ilic MZ, Stojanovic MM, Petrovic DB, Ignjatovic AM, Stefanovic NZ, Kocic GM, Bojanic VV.Cardiac Remodeling Biomarkers as Potential Circulating Markers of Left Ventricular Hypertrophy in Heart Failure with Preserved Ejection Fraction.Tohoku J Exp Med. 2020;250(4):233-242 The writing should be improved, and if it is possible for authors, to be softer than it is now. However, the overall quality of the paper is good, and with particular changes it may be considered for publication. Reviewer #3: The authors presented an elegant study of the role of Sydecan-1 in predicting death and readmission from heart failure. But the authors did not adequately characterize these patients. I think the hemodynamic profile and the echocardiographic characteristics should be included in the article. Aldo I would like to know why the authors chose values ​​above and below the Sydecan-1 median to determine groups. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No Reviewer #3: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 24 Sep 2021 Responses to the reviewers’ comments Reviewer #1: Comment 1: Although the study is original, the study has important limitations that do not allow a meaningful interpretation of results. First, this is a retrospective study evaluating a small number of patients from a single center. -------------------------------------------------------------------------------------------------------------------- Response: Thank you for critically reviewing our manuscript. As pointed out, we have added the aforementioned limitations in the Discussion section of the revised manuscript at the following instance: Page 23, lines 316–318: “In addition, the sample size was small and data were obtained from a single institution. Therefore, further large scale studies are needed to confirm our findings.” Comment 2: Readmission-free survival was defined as the time to readmission for worsened heart failure or death from any cause, which is not acceptable. -------------------------------------------------------------------------------------------------------------------- Response: We apologize for the insufficient information. We have revised the definition of readmission-free survival in the revised manuscript as follows: Page 9, lines 120–123: “The primary outcome of the study was readmission-free survival, defined as the time from the first admission to readmission for worsened heart failure or death from any cause, which was assessed at 30 months after discharge from the hospital.” Comment 3: The model for multivariable adjustment was arbitrarily selected and did not include established outcome predictors such as natriuretic peptides or left ventricular ejection fraction. -------------------------------------------------------------------------------------------------------------------- Response: Thank you for a critical comment. Several previous reports have revealed that serum syndecan-1 concentration is influenced by infection [reference numbers 18, 27, 28, 37 in the revised manuscript]. Therefore, to exclude the effect of infection due to endothelial glycocalyx injury, we chose to consider antibiotic use as a confounding factor for univariate and multivariable time-dependent Cox regression analyses. We also needed to avoid overfitting to ensure the reproducibility of our results. Since overfitting can be avoided if the number of events is less than or equal to the number of events divided by 10, it was necessary to limit the number of variables to a factor +3 adjustment variables (Reviewer-only reference). Furthermore, the reason for choosing age and creatinine as confounding factors is that syndecan-1 concentration in serum is affected by these factors [reference numbers 32–36 in the revised manuscript]. Conversely, a previous study has reported that syndecan-1 cannot predict readmission in patients of heart failure with preserved ejection fraction [reference number 30 in the revised manuscript]. Considering the priority of the effect on readmission, only age, creatinine level, and antibiotic use were considered as confounding factors. We have added this explanation and relevant references in the revised manuscript as follows: Page 10, lines 133–135: “Covariates in the model, including age [32, 33], Cre [33-36], and antibiotic use, indicating the presence of an infectious disease [18, 27, 28, 37], were selected a priori for their clinical relevance.” Revised references 18. Chelazzi C, Villa G, Mancinelli P, De Gaudio AR, Adembri C. Glycocalyx and sepsis-induced alterations in vascular permeability. Crit Care. 2015;19:26. Epub 2015/04/19. doi: 10.1186/s13054-015-0741-z. PubMed PMID: 25887223; PubMed Central PMCID: PMCPMC4308932. 27. Ostrowski SR, Haase N, Muller RB, Moller MH, Pott FC, Perner A, et al. Association between biomarkers of endothelial injury and hypocoagulability in patients with severe sepsis: a prospective study. Crit Care. 2015;19:191. Epub 2015/04/25. doi: 10.1186/s13054-015-0918-5. PubMed PMID: 25907781; PubMed Central PMCID: PMCPMC4423170. 28. Puskarich MA, Cornelius DC, Tharp J, Nandi U, Jones AE. Plasma syndecan-1 levels identify a cohort of patients with severe sepsis at high risk for intubation after large-volume intravenous fluid resuscitation. J Crit Care. 2016;36:125-9. Epub 2016/11/05. doi: 10.1016/j.jcrc.2016.06.027. PubMed PMID: 27546760; PubMed Central PMCID: PMCPMC6371967. 30. Tromp J, van der Pol A, Klip IT, de Boer RA, Jaarsma T, van Gilst WH, et al. Fibrosis marker syndecan-1 and outcome in patients with heart failure with reduced and preserved ejection fraction. Circ Heart Fail. 2014;7(3):457-62. Epub 2014/03/22. doi: 10.1161/CIRCHEARTFAILURE.113.000846. PubMed PMID: 24647119. 32. Machin DR, Bloom SI, Campbell RA, Phuong TTT, Gates PE, Lesniewski LA, et al. Advanced age results in a diminished endothelial glycocalyx. Am J Physiol Heart Circ Physiol. 2018;315(3):H531-H9. Epub 2018/05/12. doi: 10.1152/ajpheart.00104.2018. PubMed PMID: 29750566; PubMed Central PMCID: PMCPMC6172638. 33. Oda K, Okada H, Suzuki A, Tomita H, Kobayashi R, Sumi K, et al. Factors Enhancing Serum Syndecan-1 Concentrations: A Large-Scale Comprehensive Medical Examination. J Clin Med. 2019;8(9). Epub 2019/08/30. doi: 10.3390/jcm8091320. PubMed PMID: 31462009; PubMed Central PMCID: PMCPMC6780947. 34. Liborio AB, Braz MB, Seguro AC, Meneses GC, Neves FM, Pedrosa DC, et al. Endothelial glycocalyx damage is associated with leptospirosis acute kidney injury. Am J Trop Med Hyg. 2015;92(3):611-6. Epub 2015/01/28. doi: 10.4269/ajtmh.14-0232. PubMed PMID: 25624405; PubMed Central PMCID: PMCPMC4350560. 35. Padberg JS, Wiesinger A, di Marco GS, Reuter S, Grabner A, Kentrup D, et al. Damage of the endothelial glycocalyx in chronic kidney disease. Atherosclerosis. 2014;234(2):335-43. Epub 2014/04/15. doi: 10.1016/j.atherosclerosis.2014.03.016. PubMed PMID: 24727235. 36. Suzuki K, Okada H, Sumi K, Tomita H, Kobayashi R, Ishihara T, et al. Serum syndecan-1 reflects organ dysfunction in critically ill patients. Sci Rep. 2021;11(1):8864. Epub 2021/04/25. doi: 10.1038/s41598-021-88303-7. PubMed PMID: 33893369; PubMed Central PMCID: PMCPMC8065146. 37. Burke-Gaffney A, Evans TW. Lest we forget the endothelial glycocalyx in sepsis. Crit Care. 2012;16(2):121. Epub 2012/04/13. doi: 10.1186/cc11239. PubMed PMID: 22494667; PubMed Central PMCID: PMCPMC3681368. Reviewer-only reference Peduzzi P, Concato J, Feinstein A, Holford TR. Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. J Clin Epidemiol. 1995;48(12):1503-10. Reviewer #2: Comment 1: If it is possible for authors to explain why did they choose antibiotics for univariate and multivariable time-dependent Cox regression analyses adjustments, instead of heart failure medication? And to outline why did the participants in the study used antibiotics at all, because this kind of therapy may interfere with the results, e.g., syndecan-1 plasma concentration. -------------------------------------------------------------------------------------------------------------------- Response: Thank you for a critical comment. Several previous reports have revealed that serum syndecan-1 concentration is influenced by infection [reference numbers 18, 27, 28, 37 in the revised manuscript]. Therefore, to exclude the effect of infection due to endothelial glycocalyx injury, we chose to consider antibiotic use as a confounding factor for univariate and multivariable time-dependent Cox regression analyses. We also needed to avoid overfitting to ensure the reproducibility of our results. Since overfitting can be avoided if the number of events is less than or equal to the number of events divided by 10, it was necessary to limit the number of variables to a factor +3 adjustment variables (Reviewer-only reference). Furthermore, the reason for choosing age and creatinine as confounding factors is that syndecan-1 concentration in serum is affected by these factors [reference numbers 32–36 in the revised manuscript]. Conversely, a previous study has reported that syndecan-1 cannot predict readmission in patients of heart failure with preserved ejection fraction [reference number 30 in the revised manuscript]. Considering the priority of the effect on readmission, only age, creatinine level, and antibiotic use were considered as confounding factors. We have added this explanation and relevant references in the revised manuscript as follows: Page 10, lines 133–135: “Covariates in the model, including age [32, 33], Cre [33-36], and antibiotic use, indicating the presence of an infectious disease [18, 27, 28, 37], were selected a priori for their clinical relevance.” Revised references 18. Chelazzi C, Villa G, Mancinelli P, De Gaudio AR, Adembri C. Glycocalyx and sepsis-induced alterations in vascular permeability. Crit Care. 2015;19:26. Epub 2015/04/19. doi: 10.1186/s13054-015-0741-z. PubMed PMID: 25887223; PubMed Central PMCID: PMCPMC4308932. 27. Ostrowski SR, Haase N, Muller RB, Moller MH, Pott FC, Perner A, et al. Association between biomarkers of endothelial injury and hypocoagulability in patients with severe sepsis: a prospective study. Crit Care. 2015;19:191. Epub 2015/04/25. doi: 10.1186/s13054-015-0918-5. PubMed PMID: 25907781; PubMed Central PMCID: PMCPMC4423170. 28. Puskarich MA, Cornelius DC, Tharp J, Nandi U, Jones AE. Plasma syndecan-1 levels identify a cohort of patients with severe sepsis at high risk for intubation after large-volume intravenous fluid resuscitation. J Crit Care. 2016;36:125-9. Epub 2016/11/05. doi: 10.1016/j.jcrc.2016.06.027. PubMed PMID: 27546760; PubMed Central PMCID: PMCPMC6371967. 32. Machin DR, Bloom SI, Campbell RA, Phuong TTT, Gates PE, Lesniewski LA, et al. Advanced age results in a diminished endothelial glycocalyx. Am J Physiol Heart Circ Physiol. 2018;315(3):H531-H9. Epub 2018/05/12. doi: 10.1152/ajpheart.00104.2018. PubMed PMID: 29750566; PubMed Central PMCID: PMCPMC6172638. 33. Oda K, Okada H, Suzuki A, Tomita H, Kobayashi R, Sumi K, et al. Factors Enhancing Serum Syndecan-1 Concentrations: A Large-Scale Comprehensive Medical Examination. J Clin Med. 2019;8(9). Epub 2019/08/30. doi: 10.3390/jcm8091320. PubMed PMID: 31462009; PubMed Central PMCID: PMCPMC6780947. 34. Liborio AB, Braz MB, Seguro AC, Meneses GC, Neves FM, Pedrosa DC, et al. Endothelial glycocalyx damage is associated with leptospirosis acute kidney injury. Am J Trop Med Hyg. 2015;92(3):611-6. Epub 2015/01/28. doi: 10.4269/ajtmh.14-0232. PubMed PMID: 25624405; PubMed Central PMCID: PMCPMC4350560. 35. Padberg JS, Wiesinger A, di Marco GS, Reuter S, Grabner A, Kentrup D, et al. Damage of the endothelial glycocalyx in chronic kidney disease. Atherosclerosis. 2014;234(2):335-43. Epub 2014/04/15. doi: 10.1016/j.atherosclerosis.2014.03.016. PubMed PMID: 24727235. 36. Suzuki K, Okada H, Sumi K, Tomita H, Kobayashi R, Ishihara T, et al. Serum syndecan-1 reflects organ dysfunction in critically ill patients. Sci Rep. 2021;11(1):8864. Epub 2021/04/25. doi: 10.1038/s41598-021-88303-7. PubMed PMID: 33893369; PubMed Central PMCID: PMCPMC8065146. 37. Burke-Gaffney A, Evans TW. Lest we forget the endothelial glycocalyx in sepsis. Crit Care. 2012;16(2):121. Epub 2012/04/13. doi: 10.1186/cc11239. PubMed PMID: 22494667; PubMed Central PMCID: PMCPMC3681368. Reviewer-only reference Peduzzi P, Concato J, Feinstein A, Holford TR. Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. J Clin Epidemiol. 1995;48(12):1503-10. Comment 2: The authors should also check the abbreviations in the text. -------------------------------------------------------------------------------------------------------------------- Response: Thank you for thoroughly reviewing our manuscript. We have checked all the abbreviations in the text. Moreover, we have defined abbreviations of the following terms in the revised manuscript for improving readability: left ventricular ejection fraction (LVEF), aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatine kinase (CK), blood urea nitrogen (BUN), creatinine (Cre), hemoglobin (Hb), hematocrit (Ht), posterior wall thickness (PWT), left atrial volume index (LAVI), percutaneous coronary intervention (PCI), coronary artery bypass gr,afting (CABG), angiotensin-converting enzyme (ACE), angiotensin II receptor blocker (ABR), left ventricular diastolic diameter (LVDd), left ventricular systolic diameter (LVDs), interventricular septum thickness (IVST), and hazard ratios (HRs). Comment 3: I also recommend that data should not be repeated in the tables and in the body text, (e.g., medication, or underlying causes for heart failure). -------------------------------------------------------------------------------------------------------------------- Response: Per your suggestion, we have deleted some sentences in the revised manuscript to avoid redundancy. Comment 4: The authors may update the reference list with this relevant publication about syndecan-1 in heart failure patients. Mitic VT, Stojanovic DR, Deljanin Ilic MZ, Stojanovic MM, Petrovic DB, Ignjatovic AM, Stefanovic NZ, Kocic GM, Bojanic VV. Cardiac Remodeling Biomarkers as Potential Circulating Markers of Left Ventricular Hypertrophy in Heart Failure with Preserved Ejection Fraction.Tohoku J Exp Med. 2020;250(4):233-242 -------------------------------------------------------------------------------------------------------------------- Response: Thank you for the suggestion. We have added this reference as reference number 31 in the revised manuscript. It has been cited at the following instance: Page 7, lines 89–91: “Additionally, it has been suggested that syndecan-1 is associated with left ventricular hypertrophy in heart failure with preserved ejection fraction [31]. New reference 31. Mitic VT, Stojanovic DR, Deljanin Ilic MZ, Stojanovic MM, Petrovic DB, Ignjatovic AM, et al. Cardiac Remodeling Biomarkers as Potential Circulating Markers of Left Ventricular Hypertrophy in Heart Failure with Preserved Ejection Fraction. Tohoku J Exp Med. 2020;250(4):233-42. Epub 2020/04/17. doi: 10.1620/tjem.250.233. PubMed PMID: 32295985. Comment 5: The writing should be improved, and if it is possible for authors, to be softer than it is now. -------------------------------------------------------------------------------------------------------------------- Response: We have got our revised manuscript checked and proofread by a professional English language editing service. We have attached the certificate of editing for your kind perusal. Reviewer #3: Comment 1: I think the hemodynamic profile and the echocardiographic characteristics should be included in the article. -------------------------------------------------------------------------------------------------------------------- Response: Thank you for a critical suggestion. We have included these data in Table 1 in the revised manuscript. The revised table is given below and the additions are shown in red font. Table 1: Patients’ Demographics Characteristics N=152 Age (years), median (IQR) 76 (68–85) Sex (Female/Male), n (%) 58 (38.2) / 94 (61.8) Follow-up time per patient (days), median (IQR) 23 (11–230) Number of measurements per patient, median (IQR) 4 (3–6) Death, n (%) 21 (13.8) Readmission, n (%) 46 (30.3) Basal heart disease, n (%) Hypertensive heart disease 26 (17.1) Ischemic heart disease (post-PCI) 21 (13.8) Ischemic heart disease (post-CABG) 12 (8.9) Ischemic heart disease (conservative treatment) 7 (4.6) Arrhythmia (tachycardia) 20 (13.2) Arrhythmia (bradycardia) 1 (0.7) Dilated cardiomyopathy 17 (11.2) Hypertrophic cardiomyopathy 5 (3.3) Other cardiomyopathy 6 (4.0) Aortic valve stenosis (post-operation) 6 (4.0) Aortic valve stenosis (conservative treatment) 3 (2.0) Aortic valve insufficiency (post-operation) 1 (0.7) Aortic valve insufficiency (conservative treatment) 5 (3.3) Mitral valve insufficiency (post-operation) 3 (2.0) Mitral valve insufficiency (conservative treatment) 8 (5.3) Tricuspid valve insufficiency (conservative treatment) 3 (2.0) Congestive disease 2 (1.3) Other 6 (3.9) Medication, n (%) Beta blocker 123 (80.9) ACE inhibitor/ARB 100 (65.8) Statin 61 (40.1) Antiplatelet 65 (42.8) Anticoagulant 76 (50.0) Loop diuretic 136 (89.5) Spironolactone 100 (65.8) Tolvaptan 60 (39.5) Catecholamine 23 (15.1) Human atrial natriuretic peptide 96 (63.2) Antibiotic 43 (28.3) Echocardiographic characteristics, median (IQR) LVDd (mm) 53.2 (46.0–58.1) LVDs (mm) 41.4 (30.4–51.0) IVST (mm) 9.0 (8.3–9.7) PWT (mm) 9.3 (8.4–10.2) LVEF (%) 40.5 (25.6–59.6) LAD (mm) 46.7 (43.7–52.0) LAVI 60.2 (47.4–67.7) IVC (mm) 8.6 (6.4–12.1) IQR: interquartile range, PCI: percutaneous coronary intervention, CABG: coronary artery bypass grafting, ACE: angiotensin-converting enzyme, ARB: angiotensin II receptor blocker, LVDd: left ventricular diastolic diameter, LVDs: left ventricular systolic diameter, IVST: interventricular septum thickness, PWT: posterior wall thickness, LVEF: left ventricular ejection fraction, LAD: left atrial dimension, LAVI: left atrial volume index, IVC: diameter of the inferior vena cava. Comment 2: I would like to know why the authors chose values above and below the Sydecan-1 median to determine groups. -------------------------------------------------------------------------------------------------------------------- Response: There are three reasons for dividing patients into high and low syndecan-1 concentration groups stratified by the median value. First, a standard criterion has not yet been established for dividing patients based on syndecan-1 concentration in serum. Second, because syndecan-1 has a skewed distribution, it was necessary to use a robust index that is not affected by outliers. Third, stratification by the median value gives the highest statistical power because the sample size in each group would be equal. Submitted filename: 080521_Response_to_Reviewer.docx Click here for additional data file. 9 Nov 2021 Serum syndecan-1 concentration in hospitalized patients with heart failure may predict readmission-free survival PONE-D-21-12372R1 Dear Dr. Okada, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Vincenzo Lionetti, M.D., PhD Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed Reviewer #3: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The Authors have modified their manuscript according to my comments and suggestions. I have no further comments. Reviewer #2: (No Response) Reviewer #3: This is study is a retrospective observational study evaluating the relation between serum syndecan-1 concentration and readmission-free survival of hospitalized patients with decompensated heart failure. Patients had their blood sample collected on admission for measuring syndecan-1 and an echocardiography was performed also on admission. The outcome was the number of days since first admission until readmission or death from any cause, evaluated retrospectively after 30 months. The authors found serum syndecan-1 may predict readmission-free survival in patients with heart failure. In order to minimize influence of other factors, the authors performed univariate and multivariable analysis. They considered unexpected variables to the reviewers, and did not analyzed variables such as natriuretic peptides, ejection fraction and heart failure medications. After better explanation, we understand the authors selected variables that directly influence levels of syndecan-1, such as infection, renal function and age for the analysis, and they provided references to support their explanation. The authors have improved the manuscript making it more readable and allowing the reader to interpretate the results considering all the methodologic limitations. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No Reviewer #3: No 29 Nov 2021 PONE-D-21-12372R1 Serum syndecan-1 concentration in hospitalized patients with heart failure may predict readmission-free survival Dear Dr. Okada: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Prof. Vincenzo Lionetti Academic Editor PLOS ONE
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Review 1.  Revised Starling equation and the glycocalyx model of transvascular fluid exchange: an improved paradigm for prescribing intravenous fluid therapy.

Authors:  T E Woodcock; T M Woodcock
Journal:  Br J Anaesth       Date:  2012-01-29       Impact factor: 9.166

Review 2.  Endothelial glycocalyx and coronary vascular permeability: the fringe benefit.

Authors:  Bernhard F Becker; Daniel Chappell; Matthias Jacob
Journal:  Basic Res Cardiol       Date:  2010-09-22       Impact factor: 17.165

Review 3.  The endothelial glycocalyx: composition, functions, and visualization.

Authors:  Sietze Reitsma; Dick W Slaaf; Hans Vink; Marc A M J van Zandvoort; Mirjam G A oude Egbrink
Journal:  Pflugers Arch       Date:  2007-01-26       Impact factor: 3.657

4.  [Medical significance of endothelial glycocalyx].

Authors:  Alberto C Frati-Munari
Journal:  Arch Cardiol Mex       Date:  2013-11-23

5.  Endothelial glycocalyx damage is associated with leptospirosis acute kidney injury.

Authors:  Alexandre Braga Libório; Marcelo Boecker Munoz Braz; Antonio Carlos Seguro; Gdayllon C Meneses; Fernanda Macedo de Oliveira Neves; Danielle Carvalho Pedrosa; Luciano Pamplona de Góes Cavalcanti; Alice Maria Costa Martins; Elizabeth de Francesco Daher
Journal:  Am J Trop Med Hyg       Date:  2015-01-26       Impact factor: 2.345

6.  Value of Placental Growth Factor as a Predictor of Adverse Events During the Acute Phase of Acute Decompensated Heart Failure.

Authors:  Yasuki Nakada; Rika Kawakami; Masaru Matsui; Tomoya Ueda; Tomoya Nakano; Hitoshi Nakagawa; Taku Nishida; Kenji Onoue; Tsunenari Soeda; Satoshi Okayama; Makoto Watanabe; Hiroyuki Okura; Yoshihiko Saito
Journal:  Circ J       Date:  2018-12-26       Impact factor: 2.993

7.  Prognostic value of grip strength: findings from the Prospective Urban Rural Epidemiology (PURE) study.

Authors:  Darryl P Leong; Koon K Teo; Sumathy Rangarajan; Patricio Lopez-Jaramillo; Alvaro Avezum; Andres Orlandini; Pamela Seron; Suad H Ahmed; Annika Rosengren; Roya Kelishadi; Omar Rahman; Sumathi Swaminathan; Romaina Iqbal; Rajeev Gupta; Scott A Lear; Aytekin Oguz; Khalid Yusoff; Katarzyna Zatonska; Jephat Chifamba; Ehimario Igumbor; Viswanathan Mohan; Ranjit Mohan Anjana; Hongqiu Gu; Wei Li; Salim Yusuf
Journal:  Lancet       Date:  2015-05-13       Impact factor: 79.321

8.  Advanced age results in a diminished endothelial glycocalyx.

Authors:  Daniel R Machin; Samuel I Bloom; Robert A Campbell; Tam T T Phuong; Phillip E Gates; Lisa A Lesniewski; Matthew T Rondina; Anthony J Donato
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-05-11       Impact factor: 4.733

9.  Association between biomarkers of endothelial injury and hypocoagulability in patients with severe sepsis: a prospective study.

Authors:  Sisse Rye Ostrowski; Nicolai Haase; Rasmus Beier Müller; Morten Hylander Møller; Frank Christian Pott; Anders Perner; Pär Ingemar Johansson
Journal:  Crit Care       Date:  2015-04-24       Impact factor: 9.097

10.  Factors Enhancing Serum Syndecan-1 Concentrations: A Large-Scale Comprehensive Medical Examination.

Authors:  Kazumasa Oda; Hideshi Okada; Akio Suzuki; Hiroyuki Tomita; Ryo Kobayashi; Kazuyuki Sumi; Kodai Suzuki; Chihiro Takada; Takuma Ishihara; Keiko Suzuki; Soichiro Kano; Kohei Kondo; Yuki Iwashita; Hirohisa Yano; Ryogen Zaikokuji; So Sampei; Tetsuya Fukuta; Yuichiro Kitagawa; Haruka Okamoto; Takatomo Watanabe; Tomonori Kawaguchi; Takao Kojima; Fumiko Deguchi; Nagisa Miyazaki; Noriaki Yamada; Tomoaki Doi; Takahiro Yoshida; Hiroaki Ushikoshi; Shozo Yoshida; Genzou Takemura; Shinji Ogura
Journal:  J Clin Med       Date:  2019-08-27       Impact factor: 4.241

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  1 in total

1.  Syndecan-1 as a severity biomarker for patients with trauma.

Authors:  Keiko Suzuki; Hideshi Okada; Kazuyuki Sumi; Hiroyuki Tomita; Ryo Kobayashi; Takuma Ishihara; Yosuke Mizuno; Fuminori Yamaji; Ryo Kamidani; Tomotaka Miura; Ryu Yasuda; Yuichiro Kitagawa; Tetsuya Fukuta; Kodai Suzuki; Takahito Miyake; Norihide Kanda; Tomoaki Doi; Takahiro Yoshida; Shozo Yoshida; Nobuyuki Tetsuka; Shinji Ogura; Akio Suzuki
Journal:  Front Med (Lausanne)       Date:  2022-09-27
  1 in total

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