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Impact of hypotonic hyponatremia on outcomes in patients undergoing transcatheter aortic valve replacement: a national inpatient sample

Abstract

Background

Transcatheter aortic valve replacement (TAVR) has emerged as a major therapeutic option for treating aortic stenosis. Hyponatremia is a common electrolyte disorder closely associated with adverse cardiovascular outcomes. However, large-scale studies investigating the impact of hypotonic hyponatremia on outcomes among TAVR patients are lacking.

Methods

We queried patients who underwent TAVR with concomitant hypo-osmolar hyponatremia (defined as a serum sodium concentration < 135 mEq/L with a serum osmolality < 280 mOsm/kg) using the National Inpatient Sample (2016–2021). Multivariate regression analysis and 1:1 propensity score matching (PSM) were performed to assess the associations between hypo-osmolar hyponatremia and in-hospital mortality and major adverse events (including acute kidney injury [AKI], acute myocardial infarction [AMI], and cardiogenic shock [CS]). Furthermore, sensitivity analysis was performed to assess the robustness of the findings.

Results

Among the total weighted national estimate of 370,680 patients who underwent TAVR, 13,865 (3.7%) had concomitant hypo-osmolar hyponatremia. These patients had a significantly increased risk of in-hospital mortality (aOR: 1.37; 95% CI: 1.08–1.74) and a greater likelihood of developing AKI (aOR: 3.39; 95% CI: 3.07–3.74), AMI (aOR: 3.20; 95% CI: 2.77–3.70), and CS (aOR: 2.96; 95% CI: 2.52–3.47). After PSM and sensitivity analysis, these associations remained significant.

Conclusion

In TAVR patients, hypo-osmolar hyponatremia is associated with increased in-hospital mortality and adverse events, including AKI, AMI, and CS.

Peer Review reports

Introduction

Aortic stenosis is a progressive valvular heart disease that significantly impacts patient quality of life, presenting with various clinical manifestations ranging from asymptomatic valve narrowing to acute heart failure [1]. The classic triad of symptoms includes angina, syncope, and heart failure, while acute presentations may involve cardiogenic shock and pulmonary edema [2]. Transcatheter aortic valve replacement (TAVR) has revolutionized the treatment of severe aortic stenosis, particularly for high-risk surgical patients [3, 4]. According to the 2021 ESC/EACTS Guidelines, TAVR is now recommended not only for elderly patients at high surgical risk but also for selected patients at intermediate risk [5].

Since its introduction, TAVR has experienced exponential growth, with over 350,000 procedures performed across more than 70 countries [6]. As TAVR adoption continues to expand globally, understanding the factors influencing patient outcomes becomes crucial for optimizing care. One such factor is hypotonic hyponatremia, which is characterized by low serum sodium and low serum osmolality. This common electrolyte disorder affects 15–30% of hospitalized patients and has been associated with adverse outcomes in various cardiovascular conditions [7,8,9]. A meta-analysis indicated a significant association between hyponatremia and increased mortality in heart failure patients, underscoring the potential impact of hyponatremia in cardiovascular care, including TAVR [10].

However, the specific impact of hypotonic hyponatremia on TAVR patients remains incompletely understood. Previous studies have been limited by small sample sizes, single-center designs, or a narrow focus on mortality alone. For example, a study of 1,215 TAVR patients revealed that hyponatremia was associated with increased 30-day and 1-year mortality [11]. However, a comprehensive exploration of the effects of hypotonic hyponatremia on a broader range of outcomes, including in-hospital mortality, cardiovascular complications, and renal dysfunction, in TAVR patients has not been conducted in a large, diverse population.

To address these knowledge gaps, we conducted a retrospective analysis using the National Inpatient Sample (NIS), the largest all-payer inpatient healthcare database in the United States. This study aimed to assess the impact of hypotonic hyponatremia on in-hospital outcomes in TAVR patients. Our objective is to provide clinical insights to inform risk stratification and management strategies for TAVR patients with hypotonic hyponatremia, potentially improving their perioperative care and outcomes.

Methods

Study database

The National Inpatient Sample (NIS) is a representative database compiled by the Healthcare Cost and Utilization Project (HCUP) of the Agency for Healthcare Research and Quality. It encompasses data from Medicaid, Medicare, and both private and uninsured patients. The NIS includes discharge data obtained from a 20% stratified sample of community hospitals [12]. This database is designed to represent all nonfederal acute care hospitals in the United States. Each patient’s record includes up to 30 discharge diagnoses and 15 procedures, documented using the International Classification of Diseases-10th Edition-Clinical Modification (ICD-10-CM) after October 2015. Institutional review board approval and informed consent were not required for this study because the NIS data were deidentified and publicly available. The data underlying this article were provided by HCUP under license. Data will be shared on request to the corresponding author with the permission of HCUP.

This study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Reporting Guidelines [13]. The data underlying this article were provided by HCUP under license.

Patient population

We utilized data from the NIS database spanning from January 2016 to December 2021. Using ICD-10-CM diagnostic codes, we identified patients who underwent transcatheter aortic valve replacement (TAVR) (02RF3*). Patients with concomitant hypotonic hyponatremia (E87.1) were identified via appropriate ICD-10-CM diagnostic codes. We excluded patients aged < 18 years, those with missing baseline data, and those with other forms of hyponatremia. Demographic characteristics (age, sex, and race), socioeconomic features, and hospital details (teaching status, location, and bed count) along with the primary payer linked to each discharge were retrieved from the HCUP-NIS database. The burden of comorbidities was assessed via the Elixhauser Comorbidity Index. Subgroup analyses were stratified by sex, renal disease, liver disease, and other electrolyte disorders. The appendix contains the ICD retrieval codes employed in this study (Table S1).

Exposure

Hypotonic hyponatremia was defined as a serum sodium concentration < 135 mEq/L with a serum osmolality < 280 mOsm/kg [14].

Outcome measures

The primary study endpoint was in-hospital mortality. The secondary endpoints were major adverse events, including cardiogenic shock (CS), atrial fibrillation (AF), acute myocardial infarction (AMI), acute kidney injury (AKI), permanent pacemaker implantation (PPI), and cardiac arrest (CA).

Statistical analysis

NIS sampling weights were applied to obtain nationwide estimates of hospital and patient numbers. For baseline characteristics, continuous variables are reported as survey-weighted means with 95% confidence intervals (CIs), and categorical variables are presented as survey-weighted percentages with 95% CIs. Statistical comparisons between groups were conducted using survey-weighted linear regression for continuous variables and survey-weighted Chi-square tests for categorical variables, accounting for the complex survey design of the NIS database [15, 16]. All analyses incorporated the survey weights, strata, and cluster variables following established methodological guidelines [17]. To evaluate the effects of hypotonic hyponatremia on study endpoints among patients who underwent TAVR, we performed multivariable logistic regression analyses. The regression models were adjusted for baseline characteristics and for covariates that showed significant differences between groups in the univariate analysis, including age; sex; race; payment type; median household income for the patient’s ZIP Code; hospital teaching status; hospital bed size; smoking; dyslipidemia; obesity; prior stroke/TIA; prior myocardial infarction; potassium metabolism disorders; acid‒base imbalance; volume overload or volume depletion; and diabetes. The results are presented as unadjusted and adjusted odds ratios (aORs) with their corresponding 95% confidence intervals (CIs).

Furthermore, we conducted 1:1 propensity score matching (PSM) to validate the stability of our results by minimizing confounding factors between patients with hypotonic hyponatremia and those without hypotonic hyponatremia who underwent TAVR. The propensity score was calculated via a logistic regression model that included demographic characteristics, socioeconomic factors, hospital features, and relevant comorbidities. A nearest-neighbor matching algorithm was employed with a caliper width of 0.01 standard deviations of the logit of the propensity score. The balance between matched groups was assessed via the standardized mean difference (SMD), with SMD < 0.1 indicating good balance. For continuous variables, the SMD was calculated as the absolute difference in means divided by the square root of the average of the squared standard deviations; for categorical variables, the SMD was calculated as the absolute difference in proportions divided by the square root of the average of the variances.

We also performed subgroup analyses to investigate the associations between hypotonic hyponatremia and in-hospital outcomes across different patient subgroups. The stratification factors included sex, renal disease, liver disease, and other electrolyte disorders. For each subgroup analysis, we conducted formal interaction testing using likelihood ratio tests comparing models with and without interaction terms between hyponatremia and stratification variables, to evaluate whether the associations differed significantly between subgroups. Statistical significance for interaction was set at P < 0.05. To assess the robustness of our findings, we conducted a sensitivity analysis excluding patients with other electrolyte disorders.

Statistical analyses were conducted via R (http://www.R-project.org, The R Foundation) and Empower Stats (http://www.empowerstats.com, X&Y Solution, Inc., Boston, MA). Statistical significance was determined by a two-tailed P value < 0.05.

Results

Patient characteristics and comorbidities

A total of 370,680 weighted national estimate hospitalizations of patients who underwent TAVR were identified from the National Inpatient Sample (NIS) database between 2016 and 2021, of which 3.7% (n = 13,865) had hypotonic hyponatremia (Fig. 1). The baseline characteristics of patients who underwent TAVR with concomitant hypoosmolar hyponatremia are shown in Table 1. Patients with hypotonic hyponatremia were slightly younger (78.20 vs. 78.69 years, P = 0.01) and were more likely to be female (46.95% vs. 44.35%, P = 0.05). In terms of comorbidities, patients with hypotonic hyponatremia had lower rates of smoking (32.92% vs. 40.53%, P < 0.01) and dyslipidemia (65.24% vs. 74.42%, P < 0.01) but slightly higher rates of hypertension (90.59% vs. 88.69%, P < 0.01). The differences in diabetes mellitus and prior myocardial infarction were not significant. Notably, patients with hypotonic hyponatremia had a significantly greater proportion of patients with Elixhauser comorbidity index scores ≥ 3 (99.68% vs. 92.71%, P < 0.01).

Fig. 1
figure 1

Flowchart for selecting analyzed participants

Table 1 Characteristics of patients with hypotonic hyponatremia undergoing TAVR after weighted

Multivariate regression analysis

After adjusting for potential confounders, hypotonic hyponatremia was a significant predictor of acute kidney injury (AKI) (aOR: 3.39; 95% CI: 3.07–3.74, p < 0.01), acute myocardial infarction (AMI) (aOR: 3.20; 95% CI: 2.77–3.70, p < 0.01), cardiogenic shock (CS) (aOR: 2.96; 95% CI: 2.52–3.47, p < 0.01), atrial fibrillation (AF) (aOR: 1.26; 95% CI: 1.16–1.37, p < 0.01), and permanent pacemaker implantation (PPI) (aOR: 1.26; 95% CI: 1.11–1.42, p = 0.02). Additionally, hypotonic hyponatremia was associated with increased risks of in-hospital mortality (aOR: 1.37; 95% CI: 1.08–1.74, p = 0.01). However, the association between hypotonic hyponatremia and cardiac arrest (CA) was not statistically significant in the adjusted model (aOR: 1.24; 95% CI: 0.93–1.66, p = 0.14) (see Table 2 for detailed results).

Table 2 Associations between hypotonic hyponatremia and clinical outcomes in patients undergoing TAVR

Subgroup analysis

In sex-stratified analyses, hypotonic hyponatremia showed consistent associations with most clinical outcomes in both males and females, except for CS, AMI, and AKI where significant sex-based differences were observed (all interaction P < 0.01). The association with CS was more pronounced in males (aOR: 3.63, 95% CI: 2.98–4.43) than in females (aOR: 1.93, 95% CI: 1.45–2.56). Similar patterns were observed for AMI (males: aOR 3.67, 95% CI: 3.05–4.42; females: aOR 2.48, 95% CI: 1.94–3.15) and AKI (males: aOR 3.86, 95% CI: 3.38–4.40; females: aOR 2.90, 95% CI: 2.49–3.38).

The presence of liver disease significantly modified the associations between hypotonic hyponatremia and several outcomes. Patients with liver disease demonstrated stronger associations for CS (aOR: 5.73, 95% CI: 4.00-8.20) and AMI (aOR: 8.19, 95% CI: 5.45–12.31) compared to those without liver disease (cardiogenic shock: aOR 2.19, 95% CI: 1.81–2.65; acute myocardial infarction: aOR 2.49, 95% CI: 2.10–2.94; all interaction P < 0.01).

Among patients with kidney disease, the association between hypotonic hyponatremia and AKI was significantly stronger (interaction P = 0.01) compared to those without kidney disease (aOR: 3.71, 95% CI:3.27–4.21 vs. aOR: 2.86, 95% CI:2.42–3.37). Other clinical outcomes showed similar associations regardless of kidney disease status.

The impact of hypotonic hyponatremia was generally more pronounced in patients without other electrolyte disorders, particularly for in-hospital mortality (aOR: 3.05, 95% CI: 2.31–4.02 vs. aOR: 0.87, 95% CI: 0.61–1.25; interaction P < 0.01) and CS (aOR: 5.67, 95% CI: 4.75–6.75 vs. aOR: 1.72, 95% CI: 1.32–2.24; interaction P < 0.01) (Table 3).

Table 3 Subgroup analysis of clinical outcomes associated with hypotonic hyponatremia in patients undergoing TAVR

Sensitivity analysis

The results remained robust when patients with other electrolyte disorders were excluded (see Table 4). Among patients who underwent TAVR, hypotonic hyponatremia was significantly associated with CS (aOR: 5.67; 95% CI: 4.75–6.75, p < 0.01), AKI (aOR: 4.74; 95% CI: 4.26–5.26, p < 0.01), AMI (aOR: 4.71; 95% CI: 4.03–5.50, p < 0.01), and CA (aOR: 2.16; 95% CI: 1.54–3.04, p < 0.01). There was a significant association between hypotonic hyponatremia and in-hospital mortality (aOR: 3.05; 95% CI: 2.31–4.02, p < 0.01) (Table 4).

Table 4 Clinical outcomes associated with hypotonic hyponatremia in patients undergoing TAVR: A Sensitivity Analysis

Propensity score matching

After 1:1 PSM, the baseline characteristics were well balanced between the matched groups (Table S2). Among patients who underwent TAVR, after adjustment for demographics and comorbidities, hypotonic hyponatremia was significantly associated with AKI (aOR: 2.82; 95% CI: 2.49–3.20, p < 0.01), CS (aOR: 2.67; 95% CI: 2.11–3.38, p < 0.01), AMI (aOR: 2.37; 95% CI: 1.87–3.01, p < 0.01), and AF (aOR: 1.26; 95% CI: 1.13–1.41, p < 0.01). The association between hypotonic hyponatremia and in-hospital mortality remained significant (aOR: 1.41; 95% CI: 1.05–1.90, p = 0.02) (Table 5).

Table 5 Clinical outcomes associated with hypotonic hyponatremia in patients undergoing TAVR after PSM

Discussion

Our study, which analyzed 370,680 weighted TAVR hospitalizations, revealed several key findings regarding the impact of hypotonic hyponatremia on patients undergoing TAVR. First, hyponatremia with low osmolality poses a greater risk of mortality and severe complications such as acute kidney injury, acute myocardial infarction, and cardiogenic shock during hospitalization for patients undergoing TAVR. These trends persist even after propensity score matching, indicating an independent association between hypotonic hyponatremia and adverse outcomes. Second, male patients with hypotonic hyponatremia are at greater risk for acute myocardial infarction and cardiogenic shock than female patients. Third, patients with preexisting conditions such as liver disease and kidney disease demonstrated stronger associations between hypotonic hyponatremia and adverse outcomes, particularly for cardiogenic shock and acute kidney injury, respectively.

Our findings are largely consistent with those of previous studies on the impact of hyponatremia on cardiovascular disease patients and provide new insights specific to the TAVR population. A large-scale multicenter study revealed that hyponatremia is associated with a 25% increase in mortality during hospitalization for patients with acute heart failure, and these patients also experience an increased rate of readmission, which is consistent with our findings [18]. However, our study extends these findings to the TAVR patient population. Similarly, a retrospective cohort study by Khan et al. indicated that hyponatremia is associated with adverse outcomes following coronary artery bypass graft surgery, including an 80% increase in the risk of death as well as a heightened incidence of various complications [19]. While their study population differed, the trend of results parallels ours, underscoring the universal importance of hyponatremia in cardiovascular patients. Notably, our larger sample size and nationwide coverage increase the representativeness and generalizability of our findings. Furthermore, a multicenter study based on the Japanese population indicated that among the 1,215 TAVR patients they investigated, 106 patients with concomitant hyponatremia faced a higher risk of mortality within 30 days postdischarge [11]. However, their research was based on a Japanese population, with a total sample size of only 1,200 individuals, which is insufficient to adequately represent the overall TAVR population. In contrast to their study, our research included a sample from across the United States, and a larger sample size reduces the likelihood of selection bias, making our findings more universally representative. This finding is consistent with the results of Konigstein et al., who identified hyponatremia as an independent predictor of acute kidney injury in heart failure patients [20]. These findings not only complement the literature but also provide new perspectives on perioperative management for TAVR patients, highlighting the importance of monitoring and correcting electrolyte imbalances in this unique population.

Mechanistically, hypotonic hyponatremia may affect the prognosis of TAVR patients through multiple complex pathways. Filippatos and M.S. Elisaf noted that hyponatremia may reflect neurohumoral dysregulation and hemodynamic instability, potentially increasing the risk of cardiovascular events [21]. Specifically, hyponatremia may activate the renin‒angiotensin‒aldosterone system (RAAS) and the sympathetic nervous system, leading to myocardial remodeling and deterioration of cardiac function [22,23,24]. This activation may result in vasoconstriction, water and sodium retention, and myocardial fibrosis, further increasing the cardiac burden [25,26,27,28,29,30]. Interestingly, while RAAS activation contributes to adverse outcomes, recent evidence from the Effect TAVI registry suggests that RAAS inhibitors can significantly reduce cardiovascular mortality in hypertensive patients with severe aortic stenosis undergoing TAVR [31]. However, the management of RAAS activation in TAVR patients with hyponatremia requires careful consideration of the balance between potential cardiovascular benefits and risks of electrolyte disturbances [32]. Future studies are needed to evaluate optimal pharmacological strategies that can effectively address both RAAS activation and electrolyte homeostasis in this unique patient population.

Lim et al.‘s review emphasized the complex relationship between hyponatremia and renal dysfunction [33], which may explain the strong association we observed between hyponatremia and acute kidney injury. Hyponatremia may increase the risk of acute kidney injury by affecting renal tubular function and renal hemodynamics. Specifically, hyponatremia may cause renal tubular cell swelling, affecting the tubuloglomerular feedback mechanism and thus altering renal hemodynamics [34,35,36]. These pathophysiological changes through cardiovascular and renal mechanisms may explain the increased risk of various complications we observed in TAVR patients with hyponatremia.

Our research also revealed that hyponatremia is significantly associated with other major complications, with the risk of patients experiencing cardiogenic shock and acute myocardial infarction increasing by 1.96-fold and 2.20-fold, respectively. These findings are consistent with the results of Breen, T., et al., who reported in a large retrospective study that hyponatremia was significantly associated with multiple organ dysfunction syndrome after cardiovascular surgery [19, 37, 38].

Notably, hyponatremia may affect the prognosis of TAVR patients through other mechanisms. For example, a study from the ACS-NSQIP database indicated that hyponatremia may be associated with an enhanced inflammatory response, which could exacerbate postoperative inflammation and increase the risk of complications [39]. Furthermore, a single-center study based on data from DMC Detroit Receiving Hospital revealed that hyponatremia may affect platelet function and the coagulation system, thereby increasing the risk of bleeding and thrombus formation, which is particularly significant for patients undergoing TAVR who are receiving anticoagulation therapy [40].

Finally, hyponatremia may be related to drug interactions. Falhammar et al. noted that many drugs commonly used to treat cardiovascular diseases, such as diuretics and RAAS inhibitors, may exacerbate or cause hyponatremia. This drug-related hyponatremia may further complicate the management of TAVR patients [32].

This study is the first to systematically evaluate the association between hyponatremia and multiple post-TAVR complications via a large-scale national database, providing a more comprehensive risk assessment basis for clinical decision-making. On the basis of these findings, we recommend incorporating sodium level monitoring into routine preoperative evaluation and postoperative surveillance for TAVR patients and considering individualized electrolyte management strategies for high-risk patients. Furthermore, the strong associations revealed between hyponatremia and specific complications, such as cardiogenic shock and acute kidney injury, suggest potential underlying pathophysiological mechanisms that merit further investigation. Future research directions may include prospective evaluation of the impact of active hyponatremia correction on TAVR patient outcomes, as well as exploration of the causal relationships between hyponatremia and TAVR-related complications.

Strengths

This study has several notable strengths. First, it utilizes the NIS database, which encompasses a large cohort of TAVR patients. This large sample enhances the representativeness of the findings and allows for better generalizability to the broader patient population. Second, the retrospective design employs robust statistical methodologies, such as multivariable regression analysis and PSM. These methods effectively control for potential confounders, thereby increasing the reliability of our results. Additionally, the detailed subgroup analyses demonstrated variations in the impact of hypotonic hyponatremia across different patient populations, highlighting that the effects may differ on the basis of patient characteristics. Overall, these rigorous methods not only strengthen the scientific foundation of the study but also provide critical insights for clinical practice. These findings underscore the importance of vigilant monitoring and management of electrolyte imbalances in TAVR patients.

Limitations

This study has several significant limitations that warrant consideration. First, due to the inherent constraints of the NIS database, we were unable to accurately determine the timing of hypotonic hyponatremia in relation to TAVR procedures (pre-, peri-, or post-procedural onset). This limitation prevents us from establishing a temporal relationship between hyponatremia and TAVR outcomes. Second, the database lacks detailed laboratory values, particularly sodium concentrations, which restricted our ability to investigate the impact of varying degrees of hyponatremia severity on hospital outcomes and evaluate specific treatment approaches. Third, the absence of long-term follow-up data limits our understanding of the extended impact of hyponatremia on patient outcomes beyond the hospital stay. These limitations emphasize the need for future research through prospective, multicenter studies with detailed laboratory data collection and long-term follow-up to better understand the role and effects of hypotonic hyponatremia in TAVR patients.

Conclusion

This study highlights the significant impact of hypotonic hyponatremia on the in-hospital outcomes of patients undergoing TAVR. Our analysis revealed that hypotonic hyponatremia is independently associated with increased risks of in-hospital mortality, acute kidney injury, acute myocardial infarction, and cardiogenic shock, especially in patients with preexisting renal conditions. Given these findings, further research is essential to explore targeted interventions that address the mechanisms behind hypotonic hyponatremia. This underscores the urgent need for heightened awareness and enhanced perioperative care strategies among clinicians to better manage this electrolyte imbalance in TAVR patients.

Data availability

The datasets generated and/or analysed during the current study are available on the HCUP website. https://hcup-us.ahrq.gov/. All data supporting this research also can be obtained upon request from Dr. Shizhe Fu and Dr. Guangzhi Gong.

Abbreviations

AF:

Atrial fibrillation

AHRQ:

Agency for Healthcare Research and Quality

AKI:

Acute kidney injury

AMI:

Acute myocardial infarction

AOR:

Adjusted odds ratio

CA:

Cardiac arrest

CI:

Confidence interval

CS:

Cardiogenic shock

ICD-10-CM/PCS:

International Classification of Diseases, TEN Revision, Clinical Modification/Procedure Coding System

NIS:

National Inpatient Sample

OR:

Odds ratio

PPI:

Permanent pacemaker implantation

PSM:

Propensity score matching

SD:

Standard deviation

TAVR:

Transcatheter aortic valve replacement

References

  1. Avvedimento M, et al. Acute advanced aortic stenosis. Heart Fail Rev. 2023;28(5):1101–11.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Metra M, et al. Quality of life in patients with severe aortic stenosis undergoing transcatheter aortic valve implantation: tools and evidence. J Cardiovasc Med (Hagerstown). 2024;25(4):259–70.

    Article  PubMed  Google Scholar 

  3. Isogai T, et al. Comparison of outcomes following transcatheter aortic valve replacement requiring peripheral vascular intervention or alternative access. J Am Heart Assoc. 2023;12(12):e028878.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Edelman JJ, Thourani VH. Transcatheter aortic valve replacement and surgical aortic valve replacement: both excellent therapies. J Thorac Cardiovasc Surg. 2018;156(6):2135–7.

    Article  PubMed  Google Scholar 

  5. Vahanian A, et al. 2021 ESC/EACTS guidelines for the management of valvular heart disease. Eur Heart J. 2022;43(7):561–632.

    Article  PubMed  Google Scholar 

  6. Barbanti M, et al. Transcatheter aortic valve implantation in 2017: state of the art. EuroIntervention. 2017;13Aa:Aa11–21.

    Article  Google Scholar 

  7. Upadhyay A, Jaber BL, Madias NE. Incidence and prevalence of hyponatremia. Am J Med. 2006;119(7 Suppl 1):S30–5.

    Article  CAS  PubMed  Google Scholar 

  8. Lu DY, et al. Hyponatremia and worsening sodium levels are associated with long-term outcome in patients hospitalized for acute heart failure. J Am Heart Assoc. 2016;5(3):e002668.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Wannamethee SG, et al. Mild hyponatremia, hypernatremia and incident cardiovascular disease and mortality in older men: a population-based cohort study. Nutr Metab Cardiovasc Dis. 2016;26(1):12–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Zhao W, et al. Association between hyponatremia and adverse clinical outcomes of heart failure: current evidence based on a systematic review and meta-analysis. Front Cardiovasc Med. 2023;10:1339203.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Kagase A, et al. Impact of pre-procedural hyponatremia on clinical outcomes after transcatheter aortic valve replacement: a propensity-matched analysis. Catheter Cardiovasc Interv. 2018;92(2):E125–34.

    Article  PubMed  Google Scholar 

  12. Agency for Healthcare Research and Quality. Overview of the national (nationwide) inpatient sample (NIS). Available from: https://www.hcup-us.ahrq.gov/nisoverview.jsp#about

  13. von Elm E, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370(9596):1453–7.

    Article  Google Scholar 

  14. Nigro N, et al. Symptoms and characteristics of individuals with profound hyponatremia: a prospective multicenter observational study. J Am Geriatr Soc. 2015;63(3):470–5.

    Article  PubMed  Google Scholar 

  15. Khera R, et al. Adherence to methodological standards in research using the national inpatient sample. JAMA. 2017;318(20):2011–8.

    Article  PubMed  PubMed Central  Google Scholar 

  16. HCUP Methods Series. HCUP Methods Series Calculating National Inpatient Sample (NIS). Variances for Data Years 2012 and Later; Available from: https://hcup-us.ahrq.gov/reports/methods/2015_09.jsp

  17. Overview of the National (Nationwide) Inpatient Sample (NIS). Available from: https://hcup-us.ahrq.gov/nisoverview.jsp

  18. Gheorghiade M, et al. Relationship between admission serum sodium concentration and clinical outcomes in patients hospitalized for heart failure: an analysis from the OPTIMIZE-HF registry. Eur Heart J. 2007;28(8):980–8.

    Article  CAS  PubMed  Google Scholar 

  19. Khan FW, et al. Hyponatremia: an overlooked risk factor associated with adverse outcomes after cardiac surgery. Ann Thorac Surg. 2021;112(1):91–8.

    Article  PubMed  Google Scholar 

  20. Asbagh AG, et al. Worsening renal function in hospitalized patients with systolic heart failure: prevalence and risk factors. ESC Heart Fail. 2023;10(5):2837–42.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Filippatos TD, Elisaf MS. Hyponatremia in patients with heart failure. World J Cardiol. 2013;5(9):317–28.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Farmakis D, et al. Hyponatremia in heart failure. Heart Fail Rev. 2009;14(2):59–63.

    Article  PubMed  Google Scholar 

  23. Sica DA. Hyponatremia and heart failure–pathophysiology and implications. Congest Heart Fail. 2005;11(5):274–7.

    Article  PubMed  Google Scholar 

  24. Schrier RW. Water and sodium retention in edematous disorders: role of vasopressin and aldosterone. Am J Med. 2006;119(7 Suppl 1):S47–53.

    Article  CAS  PubMed  Google Scholar 

  25. Hasking GJ, et al. Norepinephrine spillover to plasma in patients with congestive heart failure: evidence of increased overall and cardiorenal sympathetic nervous activity. Circulation. 1986;73(4):615–21.

    Article  CAS  PubMed  Google Scholar 

  26. DiBona GF, Herman PJ, Sawin LL. Neural control of renal function in edema-forming states. Am J Physiol. 1988;254(6 Pt 2):R1017–24.

    CAS  PubMed  Google Scholar 

  27. Schrier RW, Abraham WT. Hormones and hemodynamics in heart failure. N Engl J Med. 1999;341(8):577–85.

    Article  CAS  PubMed  Google Scholar 

  28. Lilly LS, et al. Hyponatremia in congestive heart failure: implications for neurohumoral activation and responses to orthostasis. J Clin Endocrinol Metab. 1984;59(5):924–30.

    Article  CAS  PubMed  Google Scholar 

  29. Lee WH, Packer M. Prognostic importance of serum sodium concentration and its modification by converting-enzyme inhibition in patients with severe chronic heart failure. Circulation. 1986;73(2):257–67.

    Article  CAS  PubMed  Google Scholar 

  30. Weber KT. Aldosterone in congestive heart failure. N Engl J Med. 2001;345(23):1689–97.

    Article  CAS  PubMed  Google Scholar 

  31. Basile C, et al. Renin-angiotensin system inhibitors reduce cardiovascular mortality in hypertensive patients with severe aortic stenosis undergoing transcatheter aortic valve implantation: insights from the EffecTAVI registry. Front Cardiovasc Med. 2023;10:1234368.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Falhammar H, et al. Associations between antihypertensive medications and severe hyponatremia: a Swedish population-based case-control study. J Clin Endocrinol Metab. 2020;105(10):e3696–705.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Lim LM, et al. Hyponatremia is associated with fluid imbalance and adverse renal outcome in chronic kidney disease patients treated with diuretics. Sci Rep. 2016;6:36817.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Bouquegneau A, et al. Anorexia nervosa and the kidney. Am J Kidney Dis. 2012;60(2):299–307.

    Article  PubMed  Google Scholar 

  35. Li Cavoli G, Mulè G, Rotolo U. Renal involvement in psychological eating disorders. Nephron Clin Pract. 2011;119(4):c338-41; discussion c341.

  36. Lee SW, et al. The effects of pre-existing hyponatremia and subsequent-developing acute kidney injury on in-hospital mortality: a retrospective cohort study. PLoS ONE. 2016;11(9):e0162990.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Breen T, et al. Abnormal serum sodium is associated with increased mortality among unselected cardiac intensive care unit patients. J Am Heart Assoc. 2020;9(2):e014140.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Teo CB, et al. Association of preoperative hyponatremia with surgical outcomes: a systematic review and meta-analysis of 32 observational studies. J Clin Endocrinol Metab. 2023;108(5):1254–71.

    Article  PubMed  Google Scholar 

  39. Malik AT, et al. Clostridium difficile colitis in patients undergoing surgery for hip fractures: an analysis of 17,474 patients. Hip Int. 2020;30(1):22–32.

    Article  PubMed  Google Scholar 

  40. Gray JR, et al. Hyponatremia in patients with spontaneous intracerebral hemorrhage. J Clin Med. 2014;3(4):1322–32.

    Article  PubMed  Google Scholar 

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Acknowledgements

Not applicable.

Funding

This project was supported by the Natural Science Foundation of Ningxia Province: No:2023AAC02071, No:2022AAC03479; the National Natural Science Foundation of China: No:82260086, No:82060057; and the Central government guided local science and technology project: No: 2022FRD05046.

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Authors

Contributions

Shizhe Fu and Guangzhi Cong performed the formal analysis and wrote the original draft. Guangzhi Cong, Xueping Ma and Shaobin Jia acquired funding, provided resources, and supervised the project. Kairu Wang, Congyan Ye, Rui Yan, Bo Shi and Ru Yan conducted the formal analysis and developed the software. Israel Gitangaza and Abdul Rehman managed the project administration and carried out the investigation. All the authors read and approved the final manuscript.

Corresponding authors

Correspondence to Shaobin Jia or Guangzhi Cong.

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This study was performed using deidentified dataset and individual consent not required.

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The authors declare no competing interests.

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Data collection methods statement

The study focused solely on inpatient data during the hospital stay, without any post-discharge follow-up investigation. The research was conducted entirely using the data from the National Inpatient Sample (NIS) database, which contains standardized hospital discharge records. No questionnaires or interviews were utilized in this study.

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Fu, S., Wang, K., Ma, X. et al. Impact of hypotonic hyponatremia on outcomes in patients undergoing transcatheter aortic valve replacement: a national inpatient sample. BMC Cardiovasc Disord 25, 168 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12872-025-04564-4

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