Skip to main content

Factors associated with left ventricular diastolic dysfunction in patients with septic shock

Abstract

Purpose

To investigate risk factors associated with left ventricular diastolic dysfunction (LVDD) of patients with septic shock.

Materials and methods

Patients with septic shock concomitant with or without LVDD were retrospectively enrolled and divided into the LVDD group (n = 17) and control without LVDD (n = 85). The clinical and ultrasound data were analyzed.

Results

A significant (P < 0.05) difference existed between the two groups in serum creatinine, APACHE II score, serum glucose, triglyceride, BUN, FT4, LAVI, mitral E, average e’, E/average e’, septal e’, septal e’/septal s’, E/septal e’, lateral s’, lateral e’, and E/lateral e’. LAVI > 37 mL/m2, septal e’ < 7 cm/s (OR 11.04, 95% CI 3.38–36.05), septal e’/septal s’ < 0.8 (OR 4.09, 95% CI 1.37–12.25), E/septal e’ > 15 (OR 22.86, 95% CI 6.09–85.79), lateral e’ < 8 cm/s (OR 9.16, 95% CI 2.70–31.07), E/lateral e’ > 13 (OR 52, 95% CI 11.99- 225.55), lateral s’ < 10 (OR 3.36, 95% CI 1.13–9.99), average e’ > 10, E/average e’ > 10 (OR 9.53, 95% CI 2.49–36.46), APACHE II score > 16 (OR 3.33, 95% CI 1.00–11.03), SOFA > 5 (or 3.43, 95% CI 1.11–10.60), BUN > 12 mmol/L (OR 3.37, 95% CI 1.15–9.87), serum creatinine > 146 μmol/L (OR 5.08, 95% CI 1.69–15.23), serum glucose > 8 mmol/L (OR 3.36, 95% CI 1.09–10.40), and triglyceride > 1.8 mmol/L were significant (P < 0.05) risk factors for LVDD. LAVI > 37 ml/m2, lateral e’ < 8 cm/s, E/lateral e’ > 13, and SOFA > 5 were significant (P < 0.05) independent risk factors for LVDD. ROC curve analysis demonstrated that the cut-off value and AUC were 37.09 mL/m2 and 0.85 for LAVI, 8.00 cm/s and 0.89 for lateral e’, 12.86 and 0.82 for E/lateral e’, and 5.00 and 0.69 for SOFA, respectively.

Conclusion

Left atrial volume index, mitral lateral e’, E/lateral e’, and SOFA score are significant independent risk factors for predicting left ventricular diastolic dysfunction in patients with septic shock.

Introduction

Sepsis is caused by patients’ exaggerated response to an infection and is related to profound hemodynamic interference, leading to multi-organ failure and even significantly high mortality and morbidity when the initial disease process evolves into the circulatory system [1,2,3,4,5]. Patients with septic shock may experience circulatory, metabolic and cellular interference associated with a high mortality. Septic cardiomyopathy may also occur in septic shock with an incidence of up to 80% [6, 7]. Besides left ventricular (LV) systolic impairment, LV diastolic dysfunction (LVDD) has also been revealed to be a potent predictor of sepsis-related mortality because the hemodynamic-effective cardiac function depends largely on the normal diastolic function of the cardiac muscle [6, 8,9,10]. LV diastolic function is significantly influenced by hemodynamic conditions, including the heart rate, LV filling time, preload and afterload, and assessment of LV diastolic function is crucial for the diagnosis of cardiac failure and evaluation of the hemodynamic state of patients with acute heart failure [11, 12]. Assessment of hemodynamic alterations in septic shock has revealed that diastolic dysfunction occurs in over 50% of patients with septic shock and that diastolic dysfunction is an independent factor for mortality [10, 13]. At present, LVDD has been used as an independent factor to predict long-term poor prognosis in patients with chronic heart failure, especially in elderly patients with cardiovascular diseases [14, 15]. However, controversy may exist in the prediction value of LVDD in patients with septic shock [8, 9, 16].

Tissue Doppler imaging is used to evaluate LV muscle deformation by measuring the velocity of change in myocardial length, including the systolic (S), early diastolic (e’) and late diastolic velocities (a’). The mitral inflow velocity (E) and late diastolic peak velocity (A) are measured with the pulse wave Doppler. In tissue Doppler measurement, the e’ wave speed and the E/e’ ratio correlated well with the LVDD [17]. It was also found that E/e’ was closely related to pulmonary capillary wedge pressure (PCWP), LV filling pressure and LV mean diastolic pressure in different heart disease states [18]. In patients with diastolic heart failure, some clinical factors and increases of left atrial volume index (LAVI) and brain natriuretic peptide (BNP) in circulation are related to LVDD, and timely intervention through early identification of risk factors for LVDD can improve the clinical prognosis [19, 20]. However, the risk factors for LVDD in patients with severe sepsis and septic shock are unknown, and identification and timely management of these risk factors would help improve the prognosis of patients with severe sepsis and septic shock. This study was consequently performed to investigate risk factors associated with LVDD in patients with severe sepsis and septic shock.

Materials and methods

Subjects

This retrospective one-center study was approved by the ethics committee of Zhejiang Provincial People’s Hospital and People’s Hospital of Hangzhou Medical College, and all patients or their family members had provided written informed consent to participate. Between July 2018 and December 2020, patients with septic shock concomitant with or without LVDD in our hospital were enrolled. The inclusion criteria were patients with septic shock concomitant with or without LVDD who had been examined with tissue Doppler imaging. The exclusion criteria were patients with septic shock who died within 24 h after diagnosis, end-stage malignant tumors, severe hepatic and renal dysfunction, concomitant with autoimmune diseases, long-term use of immunosuppressant, and organ transplantation.

Parameters for evaluation

Clinical data including age, sex, systolic and diastolic pressures, baseline diseases, infection, mechanical ventilation, and mortality were recorded. The acute physiology and chronic health evaluation (APACHE) II score and sequential organ failure assessment (SOFA) score were assessed [21, 22]. As a widely used and well-proven scoring system for evaluating organ dysfunction, the SOFA is also a valid approach to predict in-hospital mortality in patients with suspected infection. The laboratory tests including blood routine, blood gas, hepatic function and thyroid function were measured.

Twenty-four hours after the patient was admitted into the intensive care unit (ICU), echocardiography was performed by an experienced ultrasound physician using the Vivid S6 Doppler echocardiography machine (Vivid S6, GE healthcare, Horten, Norway). The following parameters were measured: LV end-diastolic dimension (LVEDD), LV end-systolic dimension (LVESD), interventricular septum thickness (IVST), left atrial volume index (LAVI), posterior wall thickness (PWT), early diastolic mitral inflow velocity (E), late diastolic peak velocity (A), deceleration time of E-wave (DT), septal e’, lateral e’, septal s’, septal e’/s’, average e’, peak systolic velocity of mitral annulus (S’), E/A, E/lateral e’, E/septal e’, and E/average e’. LV systolic dysfunction was defined as LV ejection fraction (LVEF) < 50%. In the current guidelines [11], the following four variables are considered when determining LVDD in absence of myocardial disease in two-dimensional echocardiography: LV lateral wall E/e’ (average > 14, septal > 15, or lateral > 13), annular e’ velocity (septal e’ < 7 cm/s or lateral e’ < 10 cm/s), LAVI > 34 ml/m2, and peak velocity of tricuspid regurgitation (TR) > 2.8 m/s. LVDD is present if over half of the available parameters meet these cut-off values.

On the morning of the second day after admission into the ICU, 2 ml venous blood was collected from every patient and added into an anticoagulation tube containing 0.1 ml 0.2% ethylene diamine tetraacetic acid (EDTA). After the blood was well shaken at room temperature, it was centrifuged at 2000 r/min with a centrifugation radius of 5.5 cm for 10 min to separate the plasma, and the supernatant was absorbed for examination. The immunofluorescence, triage meter plus diagnostic instrument and supporting reagents were used for detection of troponin I (TNI), serum creatinine, procalcitonin, and D-dimer.

Two authors assessed all the data independently. If in disagreement, a third senior author was involved to reach an agreement.

Statistical analysis

The statistical analysis was performed with the SPSS software (version 19.0, IBM, Chicago, IL, USA). Measurement data were presented as mean ± standard deviation if in normal distribution and tested with the t test but as median and interquartile range if in skew distribution and tested with the Chi-square test. Enumeration data were presented as numbers and percentages and tested with the Chi-square test. The logistic regression analysis was used to predict the risk factors of LVDD. Significant factors in univariate logistic regression analysis were entered for multivariate logistic regression analysis after excluding those factors with collinearity. Receiver operating characteristic (ROC) curve analysis was performed with calculation of the area under the curve (AUC), cut-off value, sensitivity, specificity, positive and negative predictive values. The significant P was set at < 0.05.

Results

A total of 102 patients in sinus rhythm were enrolled and divided into the LVDD group with LVDD (n = 17) and the control (n = 85) without LVDD (Table 1). A significant (P < 0.05) difference existed between the two groups in serum creatinine (218.61 ± 35.68 μmol / L vs. 132.34 ± 15.96 μmol / L), APACHE II score (19.71 ± 1.37 vs. 15.98 ± 0.61), serum glucose (11.88 ± 0.91 vs. 8.17 ± 0.41 mmol/L), triglyceride (3.12 ± 0.35 vs. 1.51 ± 0.15 mmol/L), BUN (18.85 ± 2.68 vs. 11.39 ± 1.20), FT4 (12.94 ± 0.97 vs. 10.78 ± 0.45 pmol/L), LAVI (64.44 ± 4.37 vs. 37.17 ± 1.95 mL/mm2), mitral E (0.95 ± 0.06 vs. 0.81 ± 0.03 m/s), average e’ (6.12 ± 0.73 vs. 10.34 ± 0.33 cm/s), E/average e’ (16.40 ± 1.00 vs. 8.43 ± 0.45), septal e’ (6.00 ± 0.72 vs. 9.41 ± 0.32 cm/s), septal e’/septal s’ (0.74 ± 0.08 vs. 0.99 ± 0.04), E/septal e’ (17.87 ± 1.28 vs. 9.41 ± 0.57), lateral s’ (8.94 ± 0.83 vs. 10.83 ± 0.37 cm/s), lateral e’ (6.24 ± 0.85 vs. 11.27 ± 0.38 cm/s), and E/lateral e’ > 13 (16.22 ± 0.97 vs. 7.82 ± 0.43) (Tables 1, 2, 3). No significant (P > 0.05) differences were found in the other parameters (Tables 1, 2, 3), especially those in the hepatic function and thyroid function.

Table 1 Data and laboratory analysis
Table 2 Blood gas and thyroid function analysis
Table 3 Ultrasound measurements of cardiac data

Univariate logistic regression analysis revealed that LAVI > 37 mL/m2, septal e’ < 7 cm/s (OR 11.04, 95% CI 3.38–36.05), septal e’/septal s’ < 0.8 (OR 4.09, 95% CI 1.37–12.25), E/septal e’ > 15 (OR 22.86, 95% CI 6.09–85.79), lateral e’ < 8 cm/s (OR 9.16, 95% CI 2.70–31.07), E/lateral e’ > 13 (OR 52, 95% CI 11.99–225.55), lateral s’ < 10 (OR 3.36, 95% CI 1.13–9.99), average e’ < 7.5 cm/s, E/average e’ > 10 (OR 9.53, 95% CI 2.49–36.46), APACHE II score > 16 (OR 3.33, 95% CI 1.00–11.03), SOFA score > 5 (OR 3.43, 95% CI 1.11–10.60), BUN (blood urea nitrogen) > 12 mmol/L (OR 3.37, 95% CI 1.15–9.87), serum creatinine > 146 μmol/L (OR 5.08, 95% CI 1.69–15.23), serum glucose > 8 mmol/L (OR 3.36, 95% CI 1.09–10.40), and triglyceride > 1.8 mmol/L were significant (P < 0.05) risk factors for LVDD (Table 4). Multivariate logistic regression analysis using the parameters of LAVI, E/lateral e’, E/septal e’, E/average e’, septal e’/septal s’, lateral e’, septal e’, APACHE II score, serum creatinine, SOFA score, triglyceride, BUN, and serum glucose demonstrated that LAVI > 37 mL/m2, E/lateral e’ > 13, SOFA > 5, and lateral e’ < 8 cm/s were significant (P < 0.05) independent risk factors for LVDD (Table 4). Significant parameters in the univariate analysis with collinearity were excluded in the multivariate logistic regression analysis.

Table 4 Univariate and multivariate logistic regression analysis of patients with septic shock

ROC curve analysis of independent risk factors in predicting LVDD caused by septic shock demonstrated that the cut-off value and AUC were 37.09 mL/m2 and 0.85 for LAVI, 8.00 cm/s and 0.89 for lateral e’, 12.86 and 0.82 for E/lateral e’, and 5.00 and 0.69 for SOFA, respectively (Table 5 and Fig. 1). The sensitivity and specificity were 0.62 and 0.94 for LAVI, 0.85 and 0.76 for lateral e’, 0.95 and 0.81 for E/lateral e’, and 0.51 and 0.82 for SOFA, respectively. The positive and negative predictive values were 0.98 and 0.94 for LAVI, 0.95 and 0.50 for lateral e’, 0.96 and 0.76 for E/lateral e’, and 0.93 and 0.25 for SOFA, respectively.

Table 5 ROC curve analysis of independent risk factors for LVDD
Fig.1
figure 1

Receiver operating characteristic (ROC) curve analysis of left atrial volume index (LAVI), lateral e’, E/lateral e’, and sequential organ failure (SOFA) as independent risk factors for predicting left ventricular diastolic dysfunction caused by septic shock

Discussion

In this study investigating risk factors associated with LVDD in patients with septic shock, it was found that patients with septic shock and combined LVDD are significantly different from those without LVDD in serum creatinine, APACHE II score, serum glucose, triglyceride, BUN, FT4, LAVI, mitral E, average e’, E/average e’, septal e’, septal e’/septal s’, E/septal e’, lateral s’, lateral e’, and E/lateral e’. LAVI > 37 mL/m2, septal e’ < 7 cm/s, septal e’/septal s’ < 0.8, E/septal e’ > 15, lateral e’ < 8 cm/s, E/lateral e’ > 13, lateral s’ < 10, average e’ > 10, E/average e’, APACHE II score > 16, SOFA > 5, BUN > 12 mmol/L, serum creatinine > 146 μmol/L, serum glucose > 8 mmol/L, and triglyceride > 1.8 mmol/L are significant (P < 0.05) risk factors for LVDD, whereas LAVI > 37 ml/m2, lateral e’ < 8 cm/s, E/lateral e’ > 13, and SOFA > 5 were significant (P < 0.05) independent risk factors for LVDD.

LVDD refers to the limitation of left ventricular active relaxation and passive filling capacity, which is an important diagnostic factor for diastolic heart failure and is closely related to increased incidences of diastolic heart failure and mortality. The prevalence of LVDD in patients with severe sepsis and septic shock has been reported to range 20%–57% [9, 23], and this high heterogeneity in the prevalence may be caused by different definitions of LVDD, different timing of echocardiographic evaluation in the sepsis course, and varied clinical settings (septic shock vs. severe sepsis). Research shows that LVDD is not static, but a dynamic phenomenon [24]. The decrease of left ventricular diastolic function suggests a poor prognosis; conversely, improving left ventricular diastolic function can increase survival [25]. Therefore, early detection of the influencing factors for LVDD and timely intervention can improve its clinical prognosis.

Studies have shown that the occurrence of LVDD is related to many factors such as clinical factors, cardiac structural parameters and circulating biomarkers [19, 20, 26, 27]. Among different cardiovascular diseases, age, hypertension, diabetes, coronary atherosclerotic heart disease (CHD), obesity and LAVI are risk factors for LVDD, with age as the strongest independent risk factor affecting LVDD [28, 29]. The study in Framingham healthy population in the United States showed that the risk of LVDD increased by 3.6 times with an increase of every 10 years of age [30]. In addition, plasma BNP and N-terminal pro-BNP level are closely related to the occurrence and severity of LVDD [20, 31, 32]. Grewal et al. [20] found that the combined model of age, gender, body mass index, diabetes, hypertension, CHD, atrial fibrillation, LAVI and plasma BNP was of high predictive values for moderate and severe LVDD in 181 patients with diastolic heart failure. Among them, plasma BNP > 100 ng/L or N-terminal pro-BNP > 600 ng/L and diabetes history were independent risk factors for predicting LVDD. Mak et al. [32] defined E / e ‘ > 15 as increased left ventricular end-diastolic pressure (LVEDP) and E/e’ < 8 as normal LVEDP, and they found that the plasma BNP concentration in E/e ‘ > 15 group was (463 ± 80) ng/L, which was significantly higher than that in 8 < E/e’ < 15 group [(122 ± 24) ng/l] and E/e ‘ < 8 Group [(97 ± 27) ng / l]. Using plasma BNP > 173 ng / L as the cut-off point to predict E/e‘ > 15, the sensitivity was 88% and the specificity was 83%. It has also been reported [33] that in 58 severe ICU patients with normal left ventricular systolic function who required mechanical ventilation, age, serum creatinine, sepsis, positive inotropic agents and SOFA scores are the independent risk factors for E/e’. When LVDD was defined by e’ ≤ 8 cm/s or / and E/e’ ≥ 13 cm / s, plasma N-terminal pro-BNP > 947 ng / l had a sensitivity of 73% and a specificity of 70%.

In the study by Landesberg et al. [8] including 262 patients with severe sepsis and septic shock, decreased e’ was significantly associated with age and essential diseases such as hypertension, diabetes and CHD. This suggests a pathological basis for an increased incidence of LVDD in patients with increased age and those concomitant with hypertension, diabetes and CHD. Sepsis further promotes the release of inflammatory factors, myocardial Ca2+ overload, nitric oxide release and myocardial microcirculation disorder, resulting in LVDD [34]. This also suggests that the severity of circulatory failure in patients with septic shock is closely related to LVDD. When the body is in a state of severe hypotension, reduced myocardial perfusion can lead to mitochondrial dysfunction and further affect the active relaxation ability of left ventricular myocardium.

At present, it is still controversial as for whether LVDD predicts the risk of death or poor prognosis in patients with sepsis. Landesberg et al. [8] reported that compared with patients with normal left ventricular diastolic function, patients with severe sepsis or septic shock complicated with LVDD had a sixfold increased risk of death. Similarly, Sturgess et al. [9] studied a small group of patients with septic shock and found that E/e’ in the death group was significantly higher than that in the survival group. After further adjusting APACHE II score, cardiovascular disease, fluid balance and other related risk factors, E/e’ was an independent predictor of in-hospital death in patients with septic shock. In addition to the traditional risk factors such as age, blood lactic acid and APACHE II score, our study showed that plasma BNP and E / lateral e ' were independent risk factors for LVDD in patients with septic shock. However, Pulido et al. [35] did not find that LVDD was associated with an increased risk of death at 30 days and 1 year in 106 patients with severe sepsis or septic shock. A recent meta-analysis of 636 patients with sepsis included in 7 studies showed that the incidence of LVDD in patients with sepsis was 48%, LVDD was significantly correlated with poor prognosis, and left ventricular systolic dysfunction was not correlated with poor prognosis [13]. In a meta-analysis of patients with severe sepsis [13], LVDD was associated with mortality at the longest follow-up (relative risk 1.82, 95% confidence interval 1.12–2.97, P < 0.05). Therefore, early identification of sepsis complicated with LVDD is particularly important, especially for patients with fluid reactivity. In addition to active anti-infection treatment, early and effective fluid resuscitation can improve myocardial diastolic function and reduce mortality.

The presence of LVDD in patients with severe sepsis and septic shock has some significant clinical implications. The use of beta-blockade and noradrenergic sparing agents (vasopressin) in these patients may improve the prognosis and outcome because these agents may lower the heart rate to improve the diastolic function [36, 37]. This is critical because the suggested elevated efficiency of diastolic filling in tachycardia is restricted in sepsis [38]. LVDD has been reported to have a significant correlation with raised troponins in severe sepsis [39], and this correlation may reflect impaired myocardial relaxation from myocardial oxygen supply demand imbalance, possibly resulting from excessive catecholamines, tachycardia and/or microvascular dysfunction. This potential ischemia may cause diastolic dysfunction, making it imperative that myocardial work and oxygen demand be decreased.

Sepsis may induce liver injury which is recognized as a powerful independent predictor of mortality in the intensive care unit [40]. During systemic infection, the liver adjusts immune defense through bacterial elimination, manufacture of cytokines and acute-phase proteins, and adaptation to infection. However, the liver is also a target of sepsis-induced injury, including cholestasis, hypoxic hepatitis and drug-induced liver injury in critically ill patients [41]. Elevated levels of inflammatory cytokines, impaired bacterial clearance, and metabolic products can lead to gut microbiota dysbiosis and disruption of the intestinal mucosal barrier, resulting in systemic inflammatory response and acute liver injury [40]. In our study, patients with septic shock and LVDD had significantly (P < 0.05) increased BUN, creatinine, and triglyceride, which may suggest severe hepatic function damage in these patients. The aspartate aminotransferase and alanine aminotransferase were also increased, but did not reach the significance level, and if more patients were included, these aminotransferases may be significantly increased in septic patients with LVDD compared with those without LVDD.

Some limitations existed in this study, including the retrospective and one-center study nature, a small cohort of patients, and Chinese patients enrolled only, which may all affect the generalization of the outcome. Future studies will have to resolve all these issues for better outcomes.

In conclusion, patients with septic shock and combined LVDD are significantly different from those without LVDD in serum creatinine, APACHE II score, serum glucose, triglyceride, BUN, FT4, LAVI, mitral E, average e’, E/average e’, septal e’, septal e’/septal s’, E/septal e’, lateral s’, lateral e’, and E/lateral e’. LAVI > 37 mL/m2, septal e’ < 7 cm/s, septal e’/septal s’ < 0.8, E/septal e’ > 15, lateral e’ < 8 cm/s, E/lateral e’ > 13, lateral s’ < 10, average e’ > 10, E/average e’, APACHE II score > 16, SOFA > 5, BUN > 12 mmol/L, serum creatinine > 146 μmol/L, serum glucose > 8 mmol/L, and triglyceride > 1.8 mmol/L are significant (P < 0.05) risk factors for LVDD, whereas LAVI > 37 ml/m2, lateral e’ < 8 cm/s, E/lateral e’ > 13, and SOFA > 5 were significant (P < 0.05) independent risk factors for LVDD.

Availability of data and materials

Data can be obtained from the corresponding author on reasonable requirements.

References

  1. Daulasim A, Vieillard-Baron A, Geri G. Hemodynamic clinical phenotyping in septic shock. Curr Opin Crit Care. 2021;27:290–7.

    Article  PubMed  Google Scholar 

  2. Farrah K, McIntyre L, Doig CJ, Talarico R, Taljaard M, Krahn M, et al. Sepsis-associated mortality, resource use, and healthcare costs: a propensity-matched cohort study. Crit Care Med. 2021;49:215–27.

    Article  PubMed  Google Scholar 

  3. Hiraiwa H, Kasugai D, Ozaki M, Goto Y, Jingushi N, Higashi M, et al. Clinical impact of visually assessed right ventricular dysfunction in patients with septic shock. Sci Rep. 2021;11:18823.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Sanfilippo F, Corredor C, Arcadipane A, Landesberg G, Vieillard-Baron A, Cecconi M, et al. Tissue Doppler assessment of diastolic function and relationship with mortality in critically ill septic patients: a systematic review and meta-analysis. Br J Anaesth. 2017;119:583–94.

    Article  CAS  PubMed  Google Scholar 

  5. Sturgess DJ, Morrison S, Haluska B, Gobe GC, Jones MA, Volante S, et al. Left ventricular impaired relaxation and interstitial myocarditis identified in sepsis-associated cardiac dysfunction: use of a rodent model. Med Sci Monit. 2021;27:e929512.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Beraud AS, Guillamet CV, Hammes JL, Meng L, Nicolls MR, Hsu JL. Efficacy of transthoracic echocardiography for diagnosing heart failure in septic shock. Am J Med Sci. 2014;347:295–8.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Vieillard-Baron A, Caille V, Charron C, Belliard G, Page B, Jardin F. Actual incidence of global left ventricular hypokinesia in adult septic shock. Crit Care Med. 2008;36:1701–6.

    Article  PubMed  Google Scholar 

  8. Landesberg G, Gilon D, Meroz Y, Georgieva M, Levin PD, Goodman S, et al. Diastolic dysfunction and mortality in severe sepsis and septic shock. Eur Heart J. 2012;33:895–903.

    Article  CAS  PubMed  Google Scholar 

  9. Sturgess DJ, Marwick TH, Joyce C, Jenkins C, Jones M, Masci P, et al. Prediction of hospital outcome in septic shock: a prospective comparison of tissue Doppler and cardiac biomarkers. Crit Care. 2010;14:R44.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Zawadka M, Marchel M, Andruszkiewicz P. Diastolic dysfunction of the left ventricle—a practical approach for an anaesthetist. Anaesthesiol Intensive Ther. 2020;52:237–44.

    Article  PubMed  Google Scholar 

  11. Nagueh SF, Smiseth OA, Appleton CP, Byrd BF, Dokainish H, Edvardsen T, et al. Recommendations for the evaluation of left ventricular diastolic function by echocardiography: an update from the American society of echocardiography and the European association of cardiovascular imaging. J Am Soc Echocardiogr. 2016;29:277–314 (3rd).

    Article  PubMed  Google Scholar 

  12. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, et al. 2016 esc guidelines for the diagnosis and treatment of acute and chronic heart failure: The task force for the diagnosis and treatment of acute and chronic heart failure of the European society of cardiology (esc)developed with the special contribution of the heart failure association (hfa) of the esc. Eur Heart J. 2016;37:2129–200.

    Article  PubMed  Google Scholar 

  13. Sanfilippo F, Corredor C, Fletcher N, Landesberg G, Benedetto U, Foex P, et al. Diastolic dysfunction and mortality in septic patients: a systematic review and meta-analysis. Intensive Care Med. 2015;41:1004–13.

    Article  PubMed  Google Scholar 

  14. Acil T, Wichter T, Stypmann J, Janssen F, Paul M, Grude M, et al. Prognostic value of tissue Doppler imaging in patients with chronic congestive heart failure. Int J Cardiol. 2005;103:175–81.

    Article  PubMed  Google Scholar 

  15. Lee CH, Hung KC, Chang SH, Lin FC, Hsieh MJ, Chen CC, et al. Reversible left ventricular diastolic dysfunction on Doppler tissue imaging predicts a more favorable prognosis in chronic heart failure. Circ J. 2012;76:1145–50.

    Article  PubMed  Google Scholar 

  16. Brown SM, Pittman JE, Hirshberg EL, Jones JP, Lanspa MJ, Kuttler KG, et al. Diastolic dysfunction and mortality in early severe sepsis and septic shock: a prospective, observational echocardiography study. Crit Ultrasound J. 2012;4:8.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Ho CY, Solomon SD. A clinician’s guide to tissue Doppler imaging. Circulation. 2006;113:e396-398.

    PubMed  Google Scholar 

  18. Lim HS, Kang SJ, Choi JH, Ahn SG, Choi BJ, Choi SY, et al. Is e/e’ reliable in patients with regional wall motion abnormalities to estimate left ventricular filling pressure? Int J Cardiovasc Imaging. 2009;25:33–9.

    Article  PubMed  Google Scholar 

  19. AlJaroudi WA, Thomas JD, Rodriguez LL, Jaber WA. Prognostic value of diastolic dysfunction: state of the art review. Cardiol Rev. 2014;22:79–90.

    Article  PubMed  Google Scholar 

  20. Grewal J, McKelvie R, Lonn E, Tait P, Carlsson J, Gianni M, et al. Bnp and nt-probnp predict echocardiographic severity of diastolic dysfunction. Eur J Heart Fail. 2008;10:252–9.

    Article  CAS  PubMed  Google Scholar 

  21. Li YWJ, Wei B, Zhang X, Hu L, Ye X. Value of neutrophil: lymphocyte ratio combined with sequential organ failure assessment score in assessing the prognosis of sepsis patients. Int J Gen Med. 2022;15:1901–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Wen KDH, Tang B, Xiong B, Zhang A, Wang P. Complete blood count and myocardial markers combination with sequential organ failure assessment score can effectively predict the mortality in sepsis: a derivation and validation study. Int J Gen Med. 2022;15:3265–80.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Gonzalez CBE, Dalmay F, Pichon N, François B, Fedou AL, Chapellas C, Galy A, Mancia C, Daix T, Vignon P. Prognostic impact of left ventricular diastolic function in patients with septic shock. Ann Intensive Care. 2016. https://doi.org/10.1186/s13613-016-0136-6.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Borlaug BA, Lam CS, Roger VL, Rodeheffer RJ, Redfield MM. Contractility and ventricular systolic stiffening in hypertensive heart disease insights into the pathogenesis of heart failure with preserved ejection fraction. J Am Coll Cardiol. 2009;54:410–8.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Bhatia RS, Tu JV, Lee DS, Austin PC, Fang J, Haouzi A, et al. Outcome of heart failure with preserved ejection fraction in a population-based study. N Engl J Med. 2006;355:260–9.

    Article  CAS  PubMed  Google Scholar 

  26. Dokainish H, Zoghbi WA, Lakkis NM, Al-Bakshy F, Dhir M, Quinones MA, et al. Optimal noninvasive assessment of left ventricular filling pressures: a comparison of tissue Doppler echocardiography and b-type natriuretic peptide in patients with pulmonary artery catheters. Circulation. 2004;109:2432–9.

    Article  PubMed  Google Scholar 

  27. Tsang TS, Barnes ME, Gersh BJ, Bailey KR, Seward JB. Left atrial volume as a morphophysiologic expression of left ventricular diastolic dysfunction and relation to cardiovascular risk burden. Am J Cardiol. 2002;90:1284–9.

    Article  PubMed  Google Scholar 

  28. Noh JH, Doh JH, Lee SY, Kim TN, Lee H, Song HY, et al. Risk factors associated with left ventricular diastolic dysfunction in type 2 diabetic patients without hypertension. Korean Diabetes J. 2010;34:40–6.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Pritchett AM, Mahoney DW, Jacobsen SJ, Rodeheffer RJ, Karon BL, Redfield MM. Diastolic dysfunction and left atrial volume: a population-based study. J Am Coll Cardiol. 2005;45:87–92.

    Article  PubMed  Google Scholar 

  30. AlJaroudi WA, Alraies MC, Halley C, Menon V, Rodriguez LL, Grimm RA, et al. Incremental prognostic value of diastolic dysfunction in low risk patients undergoing echocardiography: beyond Framingham score. Int J Cardiovasc Imaging. 2013;29:1441–50.

    Article  PubMed  Google Scholar 

  31. Grewal J, McKelvie RS, Persson H, Tait P, Carlsson J, Swedberg K, et al. Usefulness of n-terminal pro-brain natriuretic peptide and brain natriuretic peptide to predict cardiovascular outcomes in patients with heart failure and preserved left ventricular ejection fraction. Am J Cardiol. 2008;102:733–7.

    Article  CAS  PubMed  Google Scholar 

  32. Mak GS, DeMaria A, Clopton P, Maisel AS. Utility of b-natriuretic peptide in the evaluation of left ventricular diastolic function: comparison with tissue Doppler imaging recordings. Am Heart J. 2004;148:895–902.

    Article  CAS  PubMed  Google Scholar 

  33. Ikonomidis I, Nikolaou M, Dimopoulou I, Paraskevaidis I, Lekakis J, Mavrou I, et al. Association of left ventricular diastolic dysfunction with elevated nt-pro-bnp in general intensive care unit patients with preserved ejection fraction: a complementary role of tissue Doppler imaging parameters and nt-pro-bnp levels for adverse outcome. Shock. 2010;33:141–8.

    Article  PubMed  Google Scholar 

  34. Antonucci E, Fiaccadori E, Donadello K, Taccone FS, Franchi F, Scolletta S. Myocardial depression in sepsis: from pathogenesis to clinical manifestations and treatment. J Crit Care. 2014;29:500–11.

    Article  PubMed  Google Scholar 

  35. Pulido JN, Afessa B, Masaki M, Yuasa T, Gillespie S, Herasevich V, et al. Clinical spectrum, frequency, and significance of myocardial dysfunction in severe sepsis and septic shock. Mayo Clin Proc. 2012;87:620–8.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Clancy DJSM, Huang S, Scully T, McLean AS, Orde SR. Detecting impaired myocardial relaxation in sepsis with a novel tissue Doppler parameter. Crit Care. 2017. https://doi.org/10.1186/s13054-017-1727-9.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Marinella A. Sepsis and beta-blockade: a look into diastolic function. Curr Med Res Opin. 2015;31:1827–8.

    Article  Google Scholar 

  38. Joulin OMS, Hassoun S, Montaigne D, Lancel S, Neviere R. Cardiac force-frequency relationship and frequency-dependent acceleration of relaxation are impaired in lps-treated rats. Crit Care. 2009;13(1):14.

    Article  Google Scholar 

  39. Landesberg GJA, Gilon D, Levin PD, Goodman S, Abu-Baih A, Beeri R, Weissman C, Sprung CL, Landesberg A. Troponin elevation in severe sepsis and septic shock: the role of left ventricular diastolic dysfunction and right ventricular dilatation. Crit Care Med. 2014;42:790–800.

    Article  CAS  PubMed  Google Scholar 

  40. Sun JZJ, Wang X, Ji F, Ronco C, Tian J, Yin Y. Gut-liver crosstalk in sepsis-induced liver injury. Crit Care. 2020;24:614.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Kim TSCD. Liver dysfunction in sepsis. Korean J Gastroenterol. 2020;75:182–7.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

None.

Funding

This research was supported by Zhejiang medical and health science and technology plan project (no. 201344330), 2017 Zhejiang Medical and Health Science and Technology Project (2017 ky221), and 2020 Zhejiang Medical and Health Science and Technology Project (2020ky436).

Author information

Authors and Affiliations

Authors

Contributions

Study design: DYR. Data collection: WDG, FZLi, BCHu, LHW, DYR. Data analysis: WDGe, FZL, BCH, LHW, DYR. Writing of the article: WDGe, DYR. Supervision: DYR. Approval of the article: all authors. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ding-Yuan Ren.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the ethics committee of our hospital.

Consent for publication

Data have been approved for publication.

Competing interests

None.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ge, WD., Li, FZ., Hu, BC. et al. Factors associated with left ventricular diastolic dysfunction in patients with septic shock. Eur J Med Res 27, 134 (2022). https://doi.org/10.1186/s40001-022-00761-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40001-022-00761-5

Keywords