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Splenic and portal venous flow associated with frailty and sarcopenia in older outpatients with cardiovascular disease

Abstract

Background

Older patients with cardiovascular disease often experience frailty and sarcopenia. We evaluated whether a reduced blood flow in the splenic and portal vein is associated with frailty and sarcopenia in older patients with cardiovascular disease.

Methods

Blood flow in the splenic and portal vein was evaluated using EPIQ7 (Philips) in older patients (aged ≥ 65 years, 123 patients) with cardiovascular disease, who visited the frailty outpatient clinic. Frailty was assessed using the Japanese version of Cardiovascular Health Study (J-CHS) criteria and the Kihon Checklist (KCL), while sarcopenia was assessed using the Asian Working Group of Sarcopenia 2019 criteria.

Results

The mean age of the patients was 81.6 ± 6.6 years (42.3% female). Frailty was observed in 34.2% of patients using the J-CHS criteria and 36.9% using the KCL criteria, while severe sarcopenia was identified in 20.2% of patients. In the KCL criteria, the splenic venous flow decreased with the severity of frailty (248.3 ± 148.4, 202.1 ± 177.9, 139.2 ± 81.1 mL/min, P = 0.007), Additionally, the splenic venous flow was significantly lower in frail patients than in robust patients (P = 0.006). This association remained significant even after adjusting for confounding factors such as age, sex, body mass index, habitual drinking, smoking history, diabetes, dyslipidemia, hypertension, systolic blood pressure, atrial fibrillation, heart failure, and history of stroke (P = 0.039). In a parallel analysis, the splenic venous flow was remarkably decreased in patients with sarcopenia (232.0 ± 172.8 vs. 145.0 ± 91.9 mL/min, P = 0.003); however, no significant relationship was found between the severity of frailty and splenic venous flow according to the J-CHS criteria (P = 0.159). Among the J-CHS criteria sub-items, the splenic venous flow was decreased in patients with a decreased appendicular skeletal muscle index (ASMI) (332.9 ± 41.6 vs. 98.5 ± 43.5 mL/min, P = 0.005); however, there was no significant difference in the splenic venous flow between patients with and without decreased walking speed (P = 0.064) or reduced grip strength (P = 0.369). The portal venous flow was not significantly associated with frailty or sarcopenia.

Conclusion

In older patients with cardiovascular disease, a decreased splenic venous flow was observed in those with frailty by the KCL criteria, those with sarcopenia, and those with a decreased ASMI.

Peer Review reports

Introduction

Patients with congestive heart failure have a higher prevalence of sarcopenia, compared to healthy people of the same age [1, 2]. In a meta-analysis, the prevalence of sarcopenia was reported to be 55% for hospitalized patients with heart failure and 26% for ambulatory patients [3]. Patients with heart failure and frailty were associated with an increased risk of mortality [4], and those with sarcopenia had a 1.64-fold higher risk of poor prognosis [5]. Frailty and sarcopenia may result from an abnormal energy metabolism coupled with mitochondrial dysfunction [6]. Catabolic responses in the diaphragm and quadriceps muscles have been observed [7]. Increased catabolic stress in the skeletal muscle results in insulin resistance [8]. Furthermore, malnutrition could be attributed to inflammatory cytokines [9], which are known to contribute to anorexia [10]. Sarcopenia in congestive heart failure may ultimately progress to cachexia, which is associated with an extremely poor prognosis [2, 11]. Frailty and sarcopenia are prevalent in older people with cardiovascular disease before the development of heart failure [12]. Left ventricular hypertrophy, reduced left ventricular (LV) longitudinal strain, and greater left atrial volume index on echocardiography were associated with an increased risk of frailty [13].

The blood flow of visceral organs could have an important role in the pathogenesis of malnutrition (cachexia), frailty, and sarcopenia in patients with cardiovascular diseases. A higher portal vein congestive index has been observed in patients with heart failure [14]. The spleen may play a role in the pathogenesis of malnutrition as lymphocyte count is a marker of nutritional status [15]. Recently, blood flow in the portal and splenic veins has been easily evaluated using echo sonography.

This study aimed to evaluate whether parameters assessed using abdominal sonography, such as portal and splenic venous flow are associated with frailty and sarcopenia in patients with cardiovascular diseases such as hypertension, atrial fibrillation, and heart failure.

Methods

Participants

We consecutively enrolled older patients with cardiometabolic diseases at a frail outpatient clinic between July 2015 and December 2023 [16]. The detailed protocol has been previously described [16]. The flowchart of patients in this study is shown in Supplemental Fig. 1. In the present study, we analyzed data from 123 participants who agreed to undergo both cardiac and abdominal echography for evaluation of cardiovascular disease. We excluded those with duplication, withdrawal of informed consent, and age < 65 years.

Fig. 1
figure 1

Difference in the splenic venous flow in patients stratified by frailty using the Japanese version of the Cardiovascular Health Study (J-CHS) criteria, frailty using the Kihon Checklist (KCL) criteria, and sarcopenia using the Asian Working Groups of Sarcopenia (AWGS) 2019 criteria. P-values were calculated using analysis of covariance and Bonferroni test in the adjusted model for age, sex, body mass index, hypertension, diabetes, dyslipidemia, alcohol consumption, smoking status, SBP at echo, atrial fibrillation, heart failure, and history of stroke

Evaluation of frailty and sarcopenia

The detailed methods used to measure the appendicular skeletal muscle index (ASMI), grip strength, and walking speed and the diagnostic criteria for sarcopenia and frailty have been previously described [16]. Patients were diagnosed with sarcopenia if they had weak handgrip strength (< 28 kg for men and < 18 kg for women) or slow walking speed (< 1.0 m/s) in addition to a low ASMI (< 7.0 kg/m2 for men and < 5.7 kg/m2 for women measured by the bioimpedance method), according to the latest diagnostic criteria for sarcopenia, as defined by the Asian Working Group for Sarcopenia 2019 [17]. Frailty was diagnosed using the modified Japanese version of the Cardiovascular Health Study (J-CHS) criteria [16, 18, 19] and the Kihon Checklist (KCL) criteria [20,21,22], developed by the Ministry of Health, Labour, and Welfare of the Japanese government to screen older frail groups. KCL comprises 25 items that evaluate the activities of daily living and physical function and nutrition, oral health, social withdrawal, cognition, and depression, and individuals with scores ≥ 8 are diagnosed with frailty. Nutritional controlling status (CONUT) score was evaluated using lymphocyte count, serum albumin, and total cholesterol level [15].

Abdominal echo sonography

Abdominal echography was performed using EPIQ (Phillips, Amsterdam, Netherlands) with a 3.5-MHz convex probe. Patients were instructed to visit the hospital for the measurement in a fasting state. The portal venous flow was measured at the hepatic inflow tract (Supplemental Figure S2). The portal venous congestion index was calculated as the ratio between the cross-sectional area (cm2) and the blood flow velocity (cm/s) of the portal vein, as determined by a Doppler system [23]. The splenic venous flow was measured anterior to the pancreas (Supplemental Figure S3). The spleen index was calculated as spleen long axis distance (cm) × short axis distance (cm) [24]. The S/P ratio was calculated as the splenic venous flow divided by the portal venous flow. To assess reproducibility, splenic and portal venous blood flow measurements were performed on five patients by three technicians (M.K., S.K., and H.O.) in a blinded manner, and the differences in measurements among the technicians were then evaluated. Interobserver differences of portal and splenic venous flows were 357.4 ± 243.6 mL/min and 114.0 ± 68.1 mL/min, respectively.

Echocardiography

Echocardiography was conducted at the time of abdominal echo using Vivid E9 or E95 (GE Medical, USA). LV stroke volume was measured using pulse wave form at the LV outflow in the apical three-chamber view and diameter in the parasternal long axis view. LV ejection fraction was measured using modified Simpson’s method in the apical four- and two-chamber views. Inferior vena cava (IVC) diameter was measured in the subxiphoid view at end-inspiration and end-expiration. Trans-mitral E and A wave velocities were measured in the apical three-chamber view; septal e′ wave of the mitral valve tissue Doppler image was measured and septal E/e′ was calculated for the evaluation of LV diastolic function.

Statistical analysis

Data are presented as mean ± standard deviation or percentage. Differences in patients’ characteristics among severity of frailty using the J-CHS and KCL criteria and sarcopenia by Asian Working Group of Sarcopenia 2019 (AWGS2019) were evaluated using analysis of variance for continuous variables and chi-square analysis for dichotomous variables. The intergroup difference was assessed using Tukey’s test. After adjusting for covariates of age, sex, body mass index (BMI), regular alcohol consumption, smoking status, hypertension, diabetes, dyslipidemia, atrial fibrillation, heart failure, and history of stroke, differences in the parameters from abdominal echography among severity of frailty by J-CHS and KCL criteria and sarcopenia was assessed using analysis of covariance, and the intergroup difference was evaluated using the Bonferroni test.

Linear relationships between the splenic venous flow and both the KCL score and ASMI were evaluated using Pearson’s correlation coefficients (continuous variables). Stepwise multiple linear regression analysis was conducted to exclude the effects of the following confounding factors: age, sex, BMI, regular alcohol consumption habits, smoking status, diabetes mellitus, dyslipidemia, atrial fibrillation, heart failure, and history of stroke.

The odds ratios (ORs) for frailty by the J-CHS criteria, frailty by the KCL criteria, and sarcopenia associated with the splenic venous flow (as a continuous variable) were evaluated using univariate and multivariate logistic regression analyses, adjusted for age, sex, BMI, regular alcohol consumption, smoking status, diabetes mellitus, dyslipidemia, atrial fibrillation, heart failure, and history of stroke.

Linear relationships between the splenic venous flow and age, BMI, left ventricular stroke volume, and inferior vena cava diameter at the end-inspiratory phase were shown in scatter plots and evaluated using Pearson’s correlation coefficients.

Statistical significance was set at P < 0.05. The statistical software IBM SPSS (version 25.0; Chicago, IL, USA) was used for all analyses.

Results

Participants

The participants’ mean age was 81.6 ± 6.36 years (male, 42.3%). The patients’ characteristics are presented in Table 1. The percentages of patients with hypertension, atrial fibrillation, heart failure, and a history of stroke were 88.7%, 30.1%, 20.3%, and 13.0%, respectively.

Table 1 Characteristics of patients (N = 123)

Patient characteristics stratified by frailty according to the J-CHS and KCL criteria and sarcopenia using AWGS2019 are presented in Supplemental Tables S1, S2, and S3. The splenic venous flow was significantly reduced with increasing frailty severity based on the KCL criteria (P = 0.007) and sarcopenia (P = 0.012). The S/P ratio was significantly different across severity of frailty according to the J-CHS criteria (P = 0.006), and the splenic index was significantly lower across severity of sarcopenia (P = 0.039). Even after adjusting for confounding factors of age, sex, BMI, hypertension, diabetes, dyslipidemia, atrial fibrillation, heart failure, and history of stroke, the splenic venous flow was significantly reduced in patients with frailty by KCL (P = 0.006) and in those with sarcopenia (P = 0.010) (Fig. 1).

Patient characteristics stratified by high or low ASMI, gait speed, and handgrip strength are presented in Supplemental Tables S4, S5, and S6. Even after adjusting for the confounding factors, the splenic venous flow was significantly reduced in patients with a low ASMI (P = 0.007) (Fig. 2). The S/P ratio was significantly reduced in patients with frailty according to the J-CHS criteria (P = 0.021) (Supplemental Figure S4), and the splenic index was significantly reduced in those with a low ASMI (P = 0.048) (Supplemental Figure S5).

Fig. 2
figure 2

Difference in the splenic venous flow in patients stratified by the appendicular skeletal muscle index (ASMI), handgrip strength, and gait speed. P-values were calculated using ANCOVA and Bonferroni test in the adjusted model for age, sex, BMI, hypertension, diabetes, dyslipidemia, alcohol consumption, smoking status, SBP at echo, atrial fibrillation, heart failure, and history of stroke

Linear relationship of the splenic venous flow to the KCL score and ASMI

In the stepwise linear regression analysis that included age, sex, BMI, hypertension, diabetes, dyslipidemia, atrial fibrillation, heart failure, history of stroke, and splenic venous flow as explanatory factors, splenic venous flow was significantly related to KCL score (P = 0.014) independently of age. In a parallel analysis, the splenic venous flow was significantly related to the ASMI (P = 0.014), independently of sex, BMI, and age (Table 2).

Table 2 Stepwise linear regression analysis for KCL score and ASMI

ORs for frailty and sarcopenia are associated with the splenic venous flow

In the logistic regression analysis, the splenic venous flow was associated with risk of frailty according to the KCL criteria (OR, 0.993 per 1 mL/min increase; 95% CI, 0.988–0.998; P = 0.008), sarcopenia according to AWGS2019 (OR, 0.991 per 1 mL/min increase; 95% CI, 0.985–0.997; P = 0.004), and a low ASMI (OR = 0.994 per 1 mL/min increase; 95% CI, 0.990–0.999; P = 0.009) (Table 3).

Table 3 Multivariate logistic regression analysis for frailty and sarcopenia associated with estimated splenic venous flow

Cardiac and neuroinflammatory factors are related to the splenic venous flow

In the scatter plots, the splenic venous flow was significantly related to LV stroke volume and inferior vena cava diameter at end-inspiratory time (Fig. 3). However, the splenic venous flow was not significantly related to neutrophil cell count (r = −0.021, P = 0.826), lymphocyte count (r = 0.125, P = 0.190) or the neutrophil to lymphocyte counts ratio (NLR) (r = –0.099, P = 0.297) (Supplemental Figure S6).

Fig. 3
figure 3

Scatter plots of the splenic venous flow in relation to the left ventricular stroke volume and to the inferior vena cava diameter at end-inspiratory time. P-values were calculated using Pearson’s correlation coefficients

Analysis of portal venous flow

There was no significant difference in portal venous flow across severity of frailty and sarcopenia (Supplemental Tables S1, S2, S3, S5, and S6); however, in patients with a lower ASMI, the portal vein diameter was significantly smaller (8.2 ± 2.2 vs. 7.1 ± 1.8 mm, P = 0.005) and the portal congestive index was also smaller (0.57 ± 0.30 vs. 0.42 ± 0.22, P = 0.004) than those with a higher ASMI (Supplemental Table S4). The portal vein flow was significantly related to the A wave velocity of the trans-mitral flow (r = 0.234, P = 0.036). Additionally, the portal vein flow was significantly related to the CONUT score (Spearman’s r=\(-\) 0.211, P = 0.037). The portal vein congestion index was significantly related to the ASMI (r = 0.241, P = 0.015) (Fig. 4).

Fig. 4
figure 4

Scatter plots of the CONUT score in relation to the portal venous flow, and that of the ASMI to the portal vein congestive index. P-values were calculated using Spearman’s correlation coefficients between the portal venous flow and CONUT score, and Pearson’s correlation coefficients between the portal vein congestive index and ASMI

Discussion

The splenic venous flow was significantly reduced in patients with frailty using the KCL criteria, sarcopenia by AWGS2019, a low ASMI, and low handgrip strength and tended to reduce in those with frailty using the J-CHS criteria. The reduction of the splenic venous flow was related to a lower left ventricular stroke volume in the heart and a larger IVC at the end-inspiratory phase. To our knowledge, this is the first study to show that the splenic venous flow is reduced in patients with sarcopenia and frailty in older patients with cardiovascular diseases such as hypertension, atrial fibrillation, and/or heart failure. Muscle wasting continuum, from sarcopenia to cachexia, can be observed in cardiovascular disease with the aging process and reduced cardiac function [11], and this may be associated with a reduced blood flow in visceral organs.

In the present study, possible mechanisms of the reduced splenic flow causing frailty and sarcopenia remain unclear. Increased splenic metabolic activity, detected by 18F-fluorodeoxyglucose (18FDG)–positron emission tomography imaging, after acute coronary syndrome, has been associated with proinflammatory remodeling of circulating leukocytes and the metabolic activity of the spleen, which independently predict the risk of subsequent cardiovascular disease events, suggesting the existence of a cardio–splenic axis [25]. Furthermore, shear wave imaging of the spleen has been reported to be useful for stratifying the prognosis of patients with heart failure [26]. Splenocytes (presumably splenic monocytes and dendritic cells) could promote immune-mediated injurious responses in the failing heart and retain this memory upon adoptive transfer [27]. The neuroimmune axis of cardiovascular control may include both the heart and spleen [28]. A decreased lymphocyte count is included in the CONUT score [15], which has been associated with an increased mortality in patients with heart failure [29]. A decreased splenic venous flow related to a lower left ventricular stroke volume in the heart might be a cause of frailty and sarcopenia, leading to malnutrition. The CONUT score was significantly related to the portal venous flow, but not to the splenic venous flow. Moreover, relationship between NLR and the splenic venous flow did not reach to statistical significance in the present study, while NLR was associated with an increased risk of mortality in patients with cardiovascular diseases [30].

The portal venous flow has been reported to be related to nutritional scores and glucose uptake in the muscles [31], and progressively declines with worsening cardiac function [32]. Increased portal congestion and intestinal edema have been observed in patients with severe heart failure, especially those with impaired right-sided cardiac function [14]. In the present study, the difference in the association between frailty and sarcopenia and the portal and splenic vein was unclear. The S/P ratio was significantly reduced in patients with prefrailty using the J-CHS criteria, but not in those with frailty, compared to those who were robust.

Frailty and sarcopenia could be associated with factors other than cardiovascular diseases, such as pain [33] and cognitive impairment [34], but splenic venous flow was not significantly related to cognitive function scores or pain in the present study (data not shown). Patients with prediabetes and diabetes have been reported to have an increased risk of frailty [35]. In the present study, patients with a low ASMI had a lower prevalence of HbA1c level being ≥ 6.5% (Supplemental Table S4), suggesting that decreased skeletal muscle was associated with uncontrolled diabetes.

Study limitations

The causal relationship between the reduced splenic flow and frailty/sarcopenia is unclear from this study because of the cross-sectional analysis. The splenic vein diameter was smaller in patients with a small body size. Further research is required to explore whether a reduced splenic flow could be a risk factor for developing sarcopenia and frailty. Moreover, this study’s sample size was relatively small, and these results should be validated in a large sample size.

Conclusion

In older patients with cardiovascular diseases such as hypertension, atrial fibrillation, and/or heart failure, the splenic venous flow was significantly reduced in patients with frailty using the KCL criteria, sarcopenia using the AWGS2019, a low ASMI, and low handgrip strength, and tended to be reduced in those with frailty as evaluated by the J-CHS criteria. A reduction of the splenic venous flow was related to a lower left ventricular stroke volume in the heart and a larger IVC at the end-inspiratory phase. These results suggest that reduced blood flow to a visceral organ could play a role in the pathogenesis of frailty and sarcopenia in older patients with cardiovascular diseases.

Data availability

The data that support the findings of this study are not openly available and may be available from the corresponding author upon reasonable request.

Abbreviations

J-CHS:

The Japanese version of Cardiovascular Health Study

KCL:

The Kihon Checklist

ASMI:

Appendicular skeletal muscle index

LV:

Left ventricular

CONUT:

Nutritional controlling status

IVC:

Inferior vena cava

AWGS2019:

Asian Working Group of Sarcopenia 2019

BMI:

Body mass index

ORs:

Odds ratios

References

  1. Fulster S, Tacke M, Sandek A, Ebner N, Tschope C, Doehner W, Anker SD, Von Haehling S. Muscle wasting in patients with chronic heart failure: results from the studies investigating co-morbidities aggravating heart failure (SICA-HF). Eur Heart J. 2013;34(7):512–9.

    Article  PubMed  Google Scholar 

  2. Springer J, Springer JI, Anker SD. Muscle wasting and sarcopenia in heart failure and beyond: update 2017. ESC Heart Fail. 2017;4(4):492–8.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Zhang Y, Zhang J, Ni W, Yuan X, Zhang H, Li P, Xu J, Zhao Z. Sarcopenia in heart failure: a systematic review and meta-analysis. ESC Heart Fail. 2021;8(2):1007–17.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Lai HY, Huang ST, Anker SD, von Haehling S, Akishita M, Arai H, Chen LK, Hsiao FY. The burden of frailty in heart failure: Prevalence, impacts on clinical outcomes and the role of heart failure medications. J Cachexia Sarcopenia Muscle. 2024;15(2):660–70.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Chen R, Xu J, Wang Y, Jiang B, Xu X, Lan Y, Wang J, Lin X. Prevalence of sarcopenia and its association with clinical outcomes in heart failure: An updated meta-analysis and systematic review. Clin Cardiol. 2023;46(3):260–8.

    Article  PubMed  PubMed Central  Google Scholar 

  6. St-Jean-Pelletier F, Pion CH, Leduc-Gaudet JP, Sgarioto N, Zovilé I, Barbat-Artigas S, Reynaud O, Alkaterji F, Lemieux FC, Grenon A, et al. The impact of ageing, physical activity, and pre-frailty on skeletal muscle phenotype, mitochondrial content, and intramyocellular lipids in men. J Cachexia Sarcopenia Muscle. 2017;8(2):213–28.

    Article  PubMed  Google Scholar 

  7. Mangner N, Weikert B, Bowen TS, Sandri M, Höllriegel R, Erbs S, Hambrecht R, Schuler G, Linke A, Gielen S, et al. Skeletal muscle alterations in chronic heart failure: differential effects on quadriceps and diaphragm. J Cachexia Sarcopenia Muscle. 2015;6(4):381–90.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Doehner W, Turhan G, Leyva F, Rauchhaus M, Sandek A, Jankowska EA, von Haehling S, Anker SD. Skeletal muscle weakness is related to insulin resistance in patients with chronic heart failure. ESC Heart Fail. 2015;2(2):85–9.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Calvani R, Marini F, Cesari M, Buford TW, Manini TM, Pahor M, Leeuwenburgh C, Bernabei R, Landi F, Marzetti E. Systemic inflammation, body composition, and physical performance in old community-dwellers. J Cachexia Sarcopenia Muscle. 2017;8(1):69–77.

    Article  PubMed  Google Scholar 

  10. Cooper C, Burden ST, Cheng H, Molassiotis A. Understanding and managing cancer-related weight loss and anorexia: insights from a systematic review of qualitative research. J Cachexia Sarcopenia Muscle. 2015;6(1):99–111.

    Article  PubMed  PubMed Central  Google Scholar 

  11. von Haehling S. The wasting continuum in heart failure: from sarcopenia to cachexia. Proc Nutr Soc. 2015;74(4):367–77.

    Article  Google Scholar 

  12. Anker D, Carmeli C, Zwahlen M, Rodondi N, Santschi V, Henchoz Y, Wolfson C, Chiolero A. How blood pressure predicts frailty transitions in older adults in a population-based cohort study: a multi-state transition model. Int J Epidemiol. 2022;51(4):1167–77.

    Article  PubMed  Google Scholar 

  13. Nadruz W Jr, Kitzman D, Windham BG, Kucharska-Newton A, Butler K, Palta P, Griswold ME, Wagenknecht LE, Heiss G, Solomon SD, et al. Cardiovascular Dysfunction and Frailty Among Older Adults in the Community: The ARIC Study. J Gerontol A Biol Sci Med Sci. 2017;72(7):958–64.

    PubMed  Google Scholar 

  14. Ikeda Y, Ishii S, Yazaki M, Fujita T, Iida Y, Kaida T, Nabeta T, Nakatani E, Maekawa E, Yanagisawa T, et al. Portal congestion and intestinal edema in hospitalized patients with heart failure. Heart Vessels. 2018;33(7):740–51.

    Article  PubMed  Google Scholar 

  15. Ignacio de Ulíbarri J, González-Madroño A, de Villar NG NG, González P, González B, Mancha A, Rodríguez F. CONUT: a tool for controlling nutritional status. First validation in a hospital population. Nutr Hosp. 2005;20(1):38–45.

    PubMed  Google Scholar 

  16. Tamura Y, Ishikawa J, Fujiwara Y, Tanaka M, Kanazawa N, Chiba Y, Iizuka A, Kaito S, Tanaka J, Sugie M, et al. Prevalence of frailty, cognitive impairment, and sarcopenia in outpatients with cardiometabolic disease in a frailty clinic. BMC Geriatr. 2018;18(1):264.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Chen LK, Woo J, Assantachai P, Auyeung TW, Chou MY, Iijima K, Jang HC, Kang L, Kim M, Kim S, et al. Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. J Am Med Dir Assoc. 2020;21(3):300-307.e302.

    Article  PubMed  Google Scholar 

  18. Satake S, Arai H. The revised Japanese version of the Cardiovascular Health Study criteria (revised J-CHS criteria). Geriatr Gerontol Int. 2020;20(10):992–3.

    Article  PubMed  Google Scholar 

  19. Makizako H, Shimada H, Doi T, Tsutsumimoto K, Suzuki T. Impact of physical frailty on disability in community-dwelling older adults: a prospective cohort study. BMJ Open. 2015;5(9): e008462.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Satake S, Senda K, Hong YJ, Miura H, Endo H, Sakurai T, Kondo I, Toba K. Validity of the Kihon Checklist for assessing frailty status. Geriatr Gerontol Int. 2016;16(6):709–15.

    Article  PubMed  Google Scholar 

  21. Watanabe D, Yoshida T, Watanabe Y, Yamada Y, Miyachi M, Kimura M. Validation of the Kihon Checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults. BMC Geriatr. 2022;22(1):478.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Sewo Sampaio PY, Sampaio RA, Yamada M, Arai H. Systematic review of the Kihon Checklist: Is it a reliable assessment of frailty? Geriatr Gerontol Int. 2016;16(8):893–902.

    Article  PubMed  Google Scholar 

  23. Moriyasu F, Nishida O, Ban N, Nakamura T, Sakai M, Miyake T, Uchino H. “Congestion index” of the portal vein. AJR Am J Roentgenol. 1986;146(4):735–9.

    Article  CAS  PubMed  Google Scholar 

  24. Takashi Koga JT. Masatake Moriyama, Kazuyoshi Ishii: Quantitative Study on Ultrasonographic Tomography of the Spleen in Liver Diseases. J Hepatol. 1972;13(7):412–8.

    Google Scholar 

  25. Emami H, Singh P, MacNabb M, Vucic E, Lavender Z, Rudd JH, Fayad ZA, Lehrer-Graiwer J, Korsgren M, Figueroa AL, et al. Splenic metabolic activity predicts risk of future cardiovascular events: demonstration of a cardiosplenic axis in humans. JACC Cardiovasc Imaging. 2015;8(2):121–30.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Misaka T, Yoshihisa A, Ichijo Y, Ishibashi S, Matsuda M, Yamadera Y, Ohara H, Sugawara Y, Anzai F, Sato Y, et al. Prognostic significance of spleen shear wave elastography and dispersion in patients with heart failure: the crucial role of cardio-splenic axis. Clin Res Cardiol. 2023;112(7):942–53.

    Article  CAS  PubMed  Google Scholar 

  27. Ismahil MA, Hamid T, Bansal SS, Patel B, Kingery JR, Prabhu SD. Remodeling of the Mononuclear Phagocyte Network Underlies Chronic Inflammation and Disease Progression in Heart Failure. Circ Res. 2014;114(2):266–82.

    Article  CAS  PubMed  Google Scholar 

  28. Carnevale D, Lembo G. Heart, Spleen, Brain. Circulation. 2018;138(18):1917–9.

    Article  PubMed  Google Scholar 

  29. Yoshihisa A, Kanno Y, Watanabe S, Yokokawa T, Abe S, Miyata M, Sato T, Suzuki S, Oikawa M, Kobayashi A, et al. Impact of nutritional indices on mortality in patients with heart failure. Open Heart. 2018;5(1): e000730.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Buonacera A, Stancanelli B, Colaci M, Malatino L. Neutrophil to Lymphocyte Ratio: An Emerging Marker of the Relationships between the Immune System and Diseases. Int J Mol Sci. 2022;23(7):8906.

  31. Kraft G, Coate KC, Dardevet D, Farmer B, Donahue EP, Williams PE, Cherrington AD, Moore MC. Portal glucose delivery stimulates muscle but not liver protein metabolism. American Journal of Physiology-Endocrinology and Metabolism. 2012;303(10):E1202–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Catalano D, Caruso G, DiFazzio S, Carpinteri G, Scalisi N, Trovato GM. Portal vein pulsatility ratio and heart failure. J Clin Ultrasound. 1998;26(1):27–31.

    Article  CAS  PubMed  Google Scholar 

  33. Ardoino I, Franchi C, Nobili A, Mannucci PM, Corli O. Pain and Frailty in Hospitalized Older Adults. Pain Ther. 2020;9(2):727–40.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Brugliera L, Giordani A, D'Angelo G, Trimarchi C, Villa G, Yen TY, Bosica F, Malatino L, Zweiker D, Negro A et al. Prevalence of Sarcopenia in Older Patients in Rehabilitation Wards. J Pers Med. 2023;13(6):960.

  35. Santulli G, Visco V, Varzideh F, Guerra G, Kansakar U, Gasperi M, Marro A, Wilson S, Ferrante MNV, Pansini A, et al. Prediabetes Increases the Risk of Frailty in Prefrail Older Adults With Hypertension: Beneficial Effects of Metformin. Hypertension. 2024;81(7):1637–43.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

None.

Funding

The authors were supported in part by research grants from the Tokyo Metropolitan Institute for Geriatrics and Gerontology (JI, YT); Research Funding for Longevity Sciences (22-9) from the National Center for Geriatrics and Gerontology (NCGG), Japan (JI, AT); and the Ministry of Health, Labour and Welfare, Japan (grant number JPMH21GB1002) (JI, YT).

Author information

Authors and Affiliations

Authors

Contributions

J Ishikawa had full access to all the data in this study. J Ishikawa was responsible for the accuracy of the data analysis. Concept and design: J Ishikawa. Data acquisition: Keisho Kobayashi, Kana Takani, Teppei Maeda, Masuyo Kawano, and Masaru Kiyomizu. Analysis and interpretation: J Ishikawa. Drafting of the manuscript: J Ishikawa and Shutaro Futami. Critical revisions: All authors. Statistical analysis: J Ishikawa.

Corresponding author

Correspondence to Joji Ishikawa.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethics Committee of the Tokyo Metropolitan Geriatric Hospital (R15-20, 19–03). All the participants provided written informed consent. This study adhered to the Declaration of Helsinki.

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The authors declare no competing interests.

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Ishikawa, J., Futami, S., Toba, A. et al. Splenic and portal venous flow associated with frailty and sarcopenia in older outpatients with cardiovascular disease. BMC Geriatr 25, 319 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12877-025-05973-y

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