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Incident heart failure and the subsequent risk of progression to end stage kidney disease in individuals with type 2 diabetes

Cardiovascular Diabetology volume 23, Article number: 204 (2024) Cite this article

Abstract

Background

Diabetic kidney disease is an established risk factor for heart failure. However, the impact of incident heart failure on the subsequent risk of renal failure has not been systematically assessed in diabetic population. We sought to study the risk of progression to end stage kidney disease (ESKD) after incident heart failure in Asian patients with type 2 diabetes.

Methods

In this prospective cohort study, 1985 outpatients with type 2 diabetes from a regional hospital and a primary care facility in Singapore were followed for a median of 8.6 (interquartile range 6.2–9.6) years. ESKD was defined as a composite of progression to sustained eGFR below 15 ml/min/1.73m2, maintenance dialysis or renal death, whichever occurred first.

Results

180 incident heart failure events and 181 incident ESKD events were identified during follow-up. Of 181 ESKD events, 38 (21%) occurred after incident heart failure. Compared to those did not progress to ESKD after incident heart failure (n = 142), participants who progressed to ESKD after heart failure occurrence were younger, had higher HbA1c and higher urine albumin-to-creatinine ratio at baseline. The excess risk of ESKD manifested immediately after heart failure occurrence, persisted for two years and was moderated thereafter. Cox regression suggested that, compared to counterparts with no heart failure event, participants with heart failure occurrence had 9.6 (95% CI 5.0- 18.3) fold increased risk for incident ESKD after adjustment for baseline cardio-renal risk factors including eGFR and albuminuria. It appeared that heart failure with preserved ejection fraction had a higher risk for ESKD as compared to those with reduced ejection fraction (adjusted HR 13.7 [6.3–29.5] versus 6.5 [2.3–18.6]).

Conclusion

Incident heart failure impinges a high risk for progression to ESKD in individuals with type 2 diabetes. Our data highlight the need for intensive surveillance of kidney function after incident heart failure, especially within the first two years after heart failure diagnosis.

Introduction

Diabetic kidney disease (DKD) is the leading cause of end stage kidney disease (ESKD) in many countries [1]. Intensive treatments on clinical risk factors and administration of kidney protective agents such as renin-angiotensin system (RAS) blockers, sodium- glucose cotransporter-2 (SGLT2) inhibitors and nonsteroidal mineralocorticoid receptor antagonists may favourably alter the trajectory of DKD progression. However, even within the controlled environment of clinical trials, residual risk of ESKD persists [2, 3]. This residual risk is particularly pronounced due to the complex interplay between diabetes and cardiovascular health. Notably, patients with diabetes face a substantially elevated risk of heart failure, with rates two to four folds higher compared to non-diabetic counterparts [4, 5],.

The inter-dependent interaction between kidney dysfunction and heart failure has been increasingly recognized [6]. A large body of evidence support that kidney dysfunction, manifested as a low glomerular filtration rate (GFR) and/or albuminuria, is a strong predictor of incident heart failure in both diabetic and non-diabetic populations [7,8,9,10]. However, only a very small number of studies have assessed the association between incident heart failure and the subsequent risk of progression to ESKD [11]. These studies were conducted in general population [12, 13], or in patients with advanced kidney disease under specialist care [14]. To our knowledge, only one prospective study has addressed the relationship between incident heart failure and risk of ESKD in diabetic population [15]. However, that study was a post hoc analysis of a clinical trial on erythropoiesis-stimulating protein in patients with type 2 diabetes, anaemia and chronic kidney disease (eGFR between 20 and 60 ml/min/1.73m2) [15]. In this context, we sought to study the risk of progression to ESKD after incident heart failure in individuals with type 2 diabetes and a broad spectrum of baseline kidney function.

Methods

Participants and follow-up

The ongoing SMART2D (Singapore Study of Macro-angiopathy and Micro-vascular Reactivity in Type 2 Diabetes) cohort study focuses on macro and microvascular complications in South East Asian patients with type 2 diabetes. We recruited 2057 outpatients from a regional hospital and an adjacent primary care facility in northern Singapore between 2011 and 2014 [16]. Type 2 diabetes was diagnosed by attending physicians after excluding type 1 diabetes and diabetes attributable to specific causes. Patients with uncontrolled hyperglycaemia (point-of-care fasting plasma glucose < 4.5 or > 15.0 mmol/L or HbA1c > 12%), and those with cancer, infectious disease and autoimmune disease on active treatments were excluded. We also excluded patients with CKD attributable to primary glomerulonephritis, systemic autoimmune diseases and specific genetic causes such as polycystic kidney disease from cohort enrolment. Participants were passively followed by reviewing their electronic medical records in a centralized data repository every two years. The repository contains routine outpatient records, hospitalization discharge summary, biochemical and imaging examinations, surgical and other interventional procedures. Participants were also invited for in-person research visit in the hospital every three years. Data from routine clinical care and research visits were combined to ascertain cardio-renal events. Additionally, we ascertained participant vital status by data linkage with national death registry. Follow-up was censored at 31 December 2021. We defined loss of follow-up as no respond to research visit invitation or did not visit the hospital or its affiliated medical facilities for routine clinical care for > 1 year. The date of the last clinical visit was considered the date of loss to follow-up.

Exposure and clinical outcome

The primary exposure was incident heart failure which was diagnosed by attending physicians and ascertained by reviewing medical records according to the following criteria, (1) N-terminal prohormone B-type natriuretic peptide (NT-proBNP) > 125 pg/mL and, (2) evidence of heart failure from transthoracic echocardiography, with documentation of clinical symptoms and/or signs (European Society of Cardiology criteria) [17, 18]. Heart failure was subtyped into preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF) based on left ventricular ejection fraction (LVEF ≥ 50% and < 50%, respectively). The clinical outcome was progression to ESKD which was a composite of, (1) progression to eGFR < 15 ml/min per 1.73m2 with at least one confirmation measurement 3 months apart or, (2) initiation of dialysis and sustained at least 3 months or, (3) death attributable to renal causes, whichever occurred first. Renal death was identified according to the primary cause of death on death certificate. According to our early study [19], we did not identify participants receiving kidney transplants during the follow-up up to December 2021.

Clinical and biochemical variables

Ethnicity, sex, smoking status and duration of diabetes were self-reported. History of atherosclerotic cardiovascular disease (ASCVD) which included myocardial infarction and stroke was self-reported and validated by reviewing medical records after cohort enrolment. Blood pressure was measured three times using a semi- automated blood pressure monitor and the average was used. Mean arterial pressure (MAP) was calculated as (2x diastolic pressure + systolic pressure)/3. HbA1c was quantified using a point-of-care analyser (DCA Vantage Analyzer, Siemens, Germany). High density lipoprotein (HDL) cholesterol, low density lipoprotein (LDL) cholesterol and serum triacylglycerol were measured using enzymatic methods (Cobas C system; Roche Diagnostics, GmbH, Mannheim, Germany). Creatinine was measured by an enzymatic method that was traceable to isotope dilution mass spectrometry reference. The estimated glomerular filtration rate (eGFR) was calculated based on serum creatinine using 2019 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula. Urine albumin was quantified using an immunoturbidimetric assay (Roche Cobas c, Roche Diagnostics, Mannheim, Germany). Albuminuria was presented as albumin-to-creatinine ratio (ACR).

Statistical analysis

Clinical variables were presented as mean ± standard deviation (SD), median (interquartile range, IQR), or proportion where appropriate. Urine ACR and plasma triacylglycerol were natural log-transformed due to skewed distribution. Between-group differences in baseline clinical and biochemical variables were compared using chi-square and Student t tests.

We handled incident heart failure as a time-varying exposure (Additional File 1: Figure S1). Specifically, in those with heart failure occurrence during follow-up, the time from heart failure diagnosis onwards contributed to ‘exposure’ category whilst the time from cohort enrolment to heart failure diagnosis contributed to ‘non- exposure’ category [13]. For participants with events of ESKD but with prior incident heart failure, time from cohort enrolment to ESKD was taken as ‘exposure’. In those with neither ESKD nor incident heart failure, time from cohort enrolment to non-renal death or loss of follow-up or censor date was taken as ‘non-exposure’. We used Kaplan-Meier method to visualize the cumulative risk of ESKD after incident heart failure. Between-group difference was compared by log-rank test. We employed cause-specific Cox regression models to assess the risk of progression to ESKD after incident heart failure. The outcome was time from the date of heart failure diagnosis or cohort enrolment in the absence of heart failure to the date of ESKD, death, loss of follow-up or end of follow-up, whichever occurred first. The date of the first eGFR reading below 15 ml/min/1.73m2, date of dialysis initiation or date of renal death in ascertained ESKD events were considered as the date of ESKD event in the current analysis. Based on biological plausibility, we adjusted age, sex and ethnicity (Chinese as reference), diabetes duration, active smoking (yes or no), ASCVD history (yes or no), body mass index (BMI), MAP, HbA1c, HDL cholesterol, LDL cholesterol, triacylglycerol, RAS blocker usage (yes or no), insulin usage (yes or no), eGFR and urine ACR at baseline, i.e. cohort enrolment in multivariable model. Using the same approach as described above, we studied the risk of progression to ESKD after occurrence of HFpEF and HFrEF, respectively. We assessed the proportional hazard (PH) assumption by modelling heart failure X time as a multiplicative interaction term in the multivariable model and by Schoenfeld residual. Due to violation of PH assumption, we modelled incident heart failure as an exposure with time-varying coefficient.

As sensitivity analysis, we excluded participants with heart failure that occurred within 90 days before the ESKD because the diagnosis of heart failure might have been triggered by the symptomatic volume overload with rapid decline of kidney function [13]. We combined incident ESKD with non-renal death into a composite outcome to assess whether non-renal death might have affected the association between incident heart failure and the subsequent risk of ESKD as a competing risk.

Statistical analyses were performed using SPSS version 27 and R software version 4.0.5. A two-sided p value < 0.05 was considered statistically significant.

Results

Participant characteristics

After excluding participants with prevalent heart failure (n = 29) and ESKD (eGFR < 15 ml/min per 1.73m2, n = 43) at baseline, a total of 1985 outpatients with type 2 diabetes were included in this prospective study (Additional File 1: Figure S2). Participant baseline characteristics were presented in Table 1.

Table 1 Participant baseline clinical and biochemical characteristics
Full size table

We identified 180 heart failure events during a median of 8.6 (IQR 6.2–9.6) years of follow-up (13,744 patient-years, crude incidence rate 1.31 per 100 patient-years). Compared to those with no events, participants with heart failure occurrence were older, had a longer duration of diabetes, higher BMI, HbA1c and systolic blood pressure. They also had a lower level of eGFR, higher urinary ACR and were more likely to be of Malay ethnicity and on insulin and RAS blocker treatments (Table 1).

Risk of progression to ESKD after incident heart failure

We identified 181 ESKD events (174 progressed to sustained eGFR below 15 ml/min/1.73m2, 1 initiated maintenance dialysis before reaching CKD stage 5, and 6 death events were attributable to renal causes) during follow-up. Among them, 38 (21%) occurred after incident heart failure. Compared to those who did not progress to ESKD (n = 142) after heart failure, participants who progressed to ESKD after heart failure occurrence (n = 38) were younger, had higher HbA1c and higher urine ACR at baseline. They had no significant differences in baseline eGFR, blood pressure, CVD history, diabetes duration and demographic variables (Table 2).

Table 2 Baseline characteristics of participants with incident heart failure and subsequently progressed to ESKD versus those with incident heart failure but did not progress to ESKD
Full size table

As shown in Fig. 1, participants with incident heart failure had a significantly higher risk of progression to ESKD as compared to those without heart failure (log-rank p < 0.001). Compared to participants with no incident heart failure, the excess risk of ESKD in those with heart failure manifested immediately after heart failure occurrence, persisted for two years and was moderated thereafter as shown by the similar increment of cumulative ESKD events after two years. The median time from cohort enrolment to ESKD was 3.8 (IQR 1.9-6.0) years in those without heart failure events whereas the median time from heart failure occurrence to ESKD was 1.0 (IQR 0.4–1.9) year.

Fig. 1
figure 1

Risk of progression to end stage kidney disease in participants with and without incident heart failure during follow-up

Full size image

Compared to those without event, participants with heart failure occurrence had an unadjusted 13.2 (95% CI 7.1–24.6) fold increased risk for progression to ESKD. The association remained statistically significant after adjustment for demographic and baseline cardio-renal risk factors including eGFR and urine ACR (adjusted HR 9.6, 95% CI 5.0–18.3, Fig. 2).

Fig. 2
figure 2

The association of incident heart failure with risk for progression to ESKD in univariable and multivariable Cox regression models. Multivariable model adjusted age, sex and ethnicity (Chinese as reference), diabetes duration, active smoking (yes or no), ASCVD history (yes or no), BMI, MAP, HbA1c, HDL cholesterol, LDL cholesterol, triacylglycerol (log-transformed), eGFR, urine ACR (log-transformed), RAS blocker usage (yes or no) and insulin usage (yes or no) at baseline (cohort enrolment). Incident heart failure was handled as a time-varying variable. It was modelled as a covariate with time-varying coefficient (per year) due to violation of proportional hazard assumption

Full size image

Heart failure subtype and the subsequent risk of ESKD

Of 180 heart failure events, 97 were classified as HFpEF, 68 were HFrEF while 15 had missing information for LVEF (Additional File: Table S1). The risk of progression to ESKD was significantly increased after both HFpEF and HFrEF. The excess risk of ESKD appeared more evident after HFpEF than that after HFrEF (adjusted HR 13.7 [6.3–25.9] versus 6.5 [2.3–18.6], Fig. 3).

Fig. 3
figure 3

Association of heart failure subtype (incident HFpEF and HFrEF) with risk for progression to ESKD in univariable and multivariable Cox regression models. Multivariable model adjusted age, sex and ethnicity (Chinese as reference), diabetes duration, active smoking (yes or no), ASCVD history (yes or no), BMI, MAP, HbA1c, HDL cholesterol, LDL cholesterol, triacylglycerol (log-transformed), eGFR, urine ACR (log-transformed), RAS blocker usage (yes or no) and insulin usage (yes or no). Incident heart failure was taken as a time- varying variable. It was modelled as a covariate with time-varying coefficient (per year) due to violation of proportional hazard assumption

Full size image

Sensitivity analyses

We excluded 7 participants with heart failure occurrence within 90 days before ESKD. The association between incident heart failure and the risk of ESKD remained statistically significant in both unadjusted and multivariable models (adjusted HR 7.2 [3.6–14.3], Additional File: Table S2).

We identified 118 death events not attributable to renal causes. Incident heart failure was significantly associated with the composite outcome of ESKD and non-renal death (adjusted HR 1.93 [1.44–2.58], Additional File: Table S3).

Additional adjustment for diuretics and beta blocker usage at baseline did not materially alter the association between incident heart failure and the subsequent risk of progression to ESKD in the multivariable model (Additional File: Table S4).

Discussion

In this prospective study in individuals with type 2 diabetes, we found that, (1) more than 20% ESKD events occurred after incident heart failure, (2) compared to those with no heart failure events, the relative risk of progression to EKSD increased nearly ten folds after heart failure occurrence and, (3) the excess risk of ESKD manifested mainly in the first two years after heart failure. These data suggest that heart failure should be considered as an important precipitating factor for kidney disease progression in patients with type 2 diabetes.

Diabetes is the leading cause of ESKD whilst heart failure is the most common first presentation of cardiovascular disease in individuals with diabetes [20,21,22]. However, data regarding heart failure and the subsequent risk of ESKD in diabetic population are still scarce. To our knowledge, only one prospective study has addressed this question in the post hoc analysis of a clinical trial on erythropoietin in patients with type 2 diabetes, anaemia and chronic kidney disease [15]. The authors reported that 16.9% ESKD events occurred after incident heart failure, which was similar to our finding (21%) in diabetic patients with a broad spectrum of kidney function in real world setting. The authors also reported that the relative risk of ESKD was more apparent in a short period (30 days) after onset of heart failure, which was also generally agreeable with our observations in current study and a recent large study in non-diabetic population [12].

At least two plausible mechanisms may underpin the linkage between incident heart failure and the subsequent risk of progression to ESKD. First, the elevated central venous pressure resultant from heart failure may lead to renal venous hypertension, increased renal resistance, impaired intrarenal blood flow and, ultimately decline in filtration function [6, 23]. An early study showed that renal blood flow was dramatically decreased in patients with decompensated heart failure even in those with preserved filtration function [24]. Second, heart failure may activate sympathetic nervous system and increase the tone of renin-angiotensin-aldosterone system. These neurohumoral factors may worsen the extra- and intra-renal haemodynamic dysregulation and concomitantly increase inflammation, oxidative stress, endothelial dysfunction, and eventually drive the progressive loss of kidney function [25].

Consistent with some early studies in non-diabetic population [13], we observed a more apparent association of HFpEF with incident ESKD as compared to that of HFrEF (Fig. 3). We did not observe significant differences in history of ASCVD, blood pressure, eGFR and urine ACR between participants with incident HFpEF and HFrEF (Additional File: Table S1). Therefore, the stronger association between HFpEF and ESKD may not be explained by these traditional clinical risk factors. Myocardial injury associated with coronary artery disease or hypertension may be the predominant mechanism for HFrEF, whilst endothelial and microvascular dysfunction may play a major role in the pathophysiology of HFpEF [26,27,28,29,30]. It is reasonable to postulate that the differences in the severity of endothelial dysfunction or microvascular complication between diabetic patients with HFpEF and HFrEF may partly explain their differential susceptibility to CKD progression. On the other hand, insulin resistance and systemic inflammation are more strongly associated with HFpEF than HFrEF [31, 32]. Compelling evidence have shown that both insulin resistance and inflammation are drivers of kidney disease progression in diabetic population [33, 34]. Future clinical and preclinical studies are warranted to elucidate the pathophysiologic mechanisms underlying the stronger association between HFpEF and the subsequent risk of progression to ESKD in patients with type 2 diabetes.

Data from the current study have clinical implications. Together with evidence from the literature, our findings strongly support the notion that incident heart failure is an important precipitating factor for kidney disease progression in diabetic population. Clinicians should be aware of the high risk of progression to ESKD in patients with incident heart failure, intensively monitor their kidney function and minimize nephrotoxic exposure, especially in the first two years after onset of heart failure. Given that heart failure is often an unrecognized complication in diabetic population [4, 21], our work also highlights the importance of prevention, early detection and timely treatment of heart failure which may potentially reduce the risk of ESKD secondary to heart failure in patients with diabetes.

The strength of the study includes a relatively large sample size with a long- term follow-up. We took ESKD, i.e. the hard renal outcome instead of surrogates as study endpoint. We have considered the major cardio-renal risk factors in our data analysis and performed some sensitivity analyses to assess the robustness of our main finding. Nevertheless, a few important weaknesses should be highlighted. This is an observational study, we could not infer causality or elucidate pathophysiology. For example, the pathophysiologic mechanisms underpinning the more apparent linkage between HFpEF and risk of ESKD could not be addressed in this study. As that for all observational studies, unmeasured or residual risks are inevitable. We do not have information on comorbidities such as anaemia and socioeconomic status. Neither did we have data on medication usage during follow-up nor intensity and adherence to treatments after diagnosis of heart failure. Although no participants were treated by SGLT2 inhibitors at baseline, some of them should have been treated by this novel cardio-renal protective medication during follow-up. Similarly, we adjusted only cardio-renal risk factors measured at cohort enrolment in multivariable models for participants with and without events of incident heart failure because measurements of biochemical variables such as HbA1c, lipid profile and kidney function at the time of heart failure diagnosis were not available in our dataset. Therefore, analytical outcomes from multivariable models should be interpreted with caution. Additionally, the event numbers of HEpEF and HFrEF were relatively small in our study. Therefore, large- sized studies are warranted to further characterize the associations between heart failure subtype and risk of ESKD. Finally, Asian people are known to have high risk of ESKD as compared to European descents. Future studies are needed to assess whether findings from our Asian people with diabetes are generalizable to other ethnic groups.

Conclusion

Incident heart failure impinged a high risk for progression to ESKD in individuals with type 2 diabetes. Intensive surveillance of kidney function is warranted after diagnosis of heart failure, especially in the first two years after heart failure occurrence.

Data availability

The dataset generated/analysed during the study could not be shared publicly. However, anonymized data may be shared upon reasonable request from corresponding authors after obtaining approval from Singapore National Healthcare Group Ethic Committee.

Abbreviations

ACR:

Albumin-to-creatinine ratio

ASCVD:

Atherosclerotic cardiovascular disease

BMI:

Body mass index

CKD:

Chronic kidney disease

CKD-EPI:

Chronic kidney disease epidemiology collaboration

DKD:

Diabetic kidney disease

eGFR:

Estimated glomerular filtration rate

ESKD:

End stage kidney disease

HFpEF:

Heart failure with preserved ejection fraction

HFrEF:

Heart failure with reduced ejection fraction

IQR:

Interquartile range

LVEF:

Left ventricular ejection fraction

MAP:

Mean arterial pressure

NT-proBNP:

N-terminal prohormone brain natriuretic peptide

RAS:

Renin angiotensin system

SGLT2:

Sodium- glucose cotransporter-2

References

  1. Cheng HT, Xu X, Lim PS, Hung KY. Worldwide Epidemiology of Diabetes-Related End-Stage Renal Disease, 2000–2015. Diabetes Care. 2021;44(1):89–97.

    Article  PubMed  Google Scholar 

  2. Bakris GL, Agarwal R, Anker SD, Pitt B, Ruilope LM, Rossing P, Kolkhof P, Nowack C, Schloemer P, Joseph A, et al. Effect of Finerenone on chronic kidney Disease outcomes in type 2 diabetes. N Engl J Med. 2020;383(23):2219–29.

    Article  CAS  PubMed  Google Scholar 

  3. Heerspink HJL, Stefansson BV, Correa-Rotter R, Chertow GM, Greene T, Hou FF, Mann JFE, McMurray JJV, Lindberg M, Rossing P, et al. Dapagliflozin in patients with chronic kidney disease. N Engl J Med. 2020;383(15):1436–46.

    Article  CAS  PubMed  Google Scholar 

  4. Pop-Busui R, Januzzi JL, Bruemmer D, Butalia S, Green JB, Horton WB, Knight C, Levi M, Rasouli N, Richardson CR. Heart failure: an underappreciated complication of diabetes. A Consensus Report of the American Diabetes Association. Diabetes Care. 2022;45(7):1670–90.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Thrainsdottir IS, Aspelund T, Thorgeirsson G, Gudnason V, Hardarson T, Malmberg K, Sigurdsson G, Ryden L. The association between glucose abnormalities and heart failure in the population-based Reykjavik study. Diabetes Care. 2005;28(3):612–6.

    Article  PubMed  Google Scholar 

  6. Rangaswami J, Bhalla V, Blair JEA, Chang TI, Costa S, Lentine KL, Lerma EV, Mezue K, Molitch M, Mullens W, et al. Cardiorenal Syndrome: classification, pathophysiology, diagnosis, and treatment strategies: A Scientific Statement from the American Heart Association. Circulation. 2019;139(16):e840–78.

    Article  PubMed  Google Scholar 

  7. Gansevoort RT, Correa-Rotter R, Hemmelgarn BR, Jafar TH, Heerspink HJ, Mann JF, Matsushita K, Wen CP. Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention. Lancet. 2013;382(9889):339–52.

    Article  PubMed  Google Scholar 

  8. Liu JJ, Pek SLT, Wang J, Liu S, Ang K, Shao YM, Tang JI, Gurung RL, Tavintharan S, Tang WE, et al. Association of Plasma Leucine-Rich alpha-2 glycoprotein 1, a modulator of transforming growth factor-beta signaling pathway, with Incident Heart failure in individuals with type 2 diabetes. Diabetes Care. 2021;44(2):571–7.

    Article  CAS  PubMed  Google Scholar 

  9. Elsayed EF, Tighiouart H, Griffith J, Kurth T, Levey AS, Salem D, Sarnak MJ, Weiner DE. Cardiovascular disease and subsequent kidney disease. Arch Intern Med. 2007;167(11):1130–6.

    Article  CAS  PubMed  Google Scholar 

  10. Berg DD, Wiviott SD, Scirica BM, Gurmu Y, Mosenzon O, Murphy SA, Bhatt DL, Leiter LA, McGuire DK, Wilding JPH, et al. Heart failure risk stratification and efficacy of sodium-glucose Cotransporter-2 inhibitors in patients with type 2 diabetes Mellitus. Circulation. 2019;140(19):1569–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Zoccali C, Mallamaci F. The cardiovascular-renal link and the health burden of kidney failure. Eur Heart J. 2023;44(13):1167–9.

    Article  PubMed  Google Scholar 

  12. Mark PB, Carrero JJ, Matsushita K, Sang Y, Ballew SH, Grams ME, Coresh J, Surapaneni A, Brunskill NJ, Chalmers J, et al. Major cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study. Eur Heart J. 2023;44(13):1157–66.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Ishigami J, Cowan LT, Demmer RT, Grams ME, Lutsey PL, Carrero JJ, Coresh J, Matsushita K. Incident Hospitalization with Major Cardiovascular diseases and subsequent risk of ESKD: implications for Cardiorenal Syndrome. J Am Soc Nephrol. 2020;31(2):405–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Sud M, Tangri N, Pintilie M, Levey AS, Naimark DM. ESRD and death after heart failure in CKD. J Am Soc Nephrol. 2015;26(3):715–22.

    Article  PubMed  Google Scholar 

  15. Charytan DM, Solomon SD, Ivanovich P, Remuzzi G, Cooper ME, McGill JB, Parving HH, Parfrey P, Singh AK, Burdmann EA, et al. ESRD after Heart failure, myocardial infarction, or stroke in type 2 Diabetic patients with CKD. Am J Kidney Dis. 2017;70(4):522–31.

    Article  PubMed  Google Scholar 

  16. Pek SL, Tavintharan S, Wang X, Lim SC, Woon K, Yeoh LY, Ng X, Liu J, Sum CF. Elevation of a novel angiogenic factor, leucine-rich-alpha2-glycoprotein (LRG1), is associated with arterial stiffness, endothelial dysfunction, and peripheral arterial disease in patients with type 2 diabetes. J Clin Endocrinol Metab. 2015;100(4):1586–93.

    Article  CAS  PubMed  Google Scholar 

  17. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JG, Coats AJ, Falk V, Gonzalez-Juanatey JR, Harjola VP, Jankowska EA, 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 J Heart Fail. 2016;18(8):891–975.

    Article  PubMed  Google Scholar 

  18. McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Bohm M, Burri H, Butler J, Celutkiene J, Chioncel O, et al. 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42(36):3599–726.

    Article  CAS  PubMed  Google Scholar 

  19. Liu JJ, Liu S, Wang J, Pek SLT, Lee J, Gurung RL, Ang K, Shao YM, Tavintharan S, Tang WE, et al. Urine leucine-rich alpha-2 glycoprotein 1 (LRG1) predicts the risk of progression to end-stage kidney disease in patients with type 2 diabetes. Diabetes Care. 2023;46(2):408–15.

    Article  CAS  PubMed  Google Scholar 

  20. Johansen KL, Chertow GM, Foley RN, Gilbertson DT, Herzog CA, Ishani A, Israni AK, Ku E, Kurella Tamura M, Li S, et al. US Renal Data System 2020 Annual Data Report: Epidemiology of Kidney Disease in the United States. Am J Kidney Dis. 2021;77(4):A7-8.

    Article  PubMed  PubMed Central  Google Scholar 

  21. McAllister DA, Read SH, Kerssens J, Livingstone S, McGurnaghan S, Jhund P, Petrie J, Sattar N, Fischbacher C, Kristensen SL, et al. Incidence of hospitalization for heart failure and case-fatality among 3.25 million people with and without diabetes Mellitus. Circulation. 2018;138(24):2774–86.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Ohkuma T, Komorita Y, Peters SAE, Woodward M. Diabetes as a risk factor for heart failure in women and men: a systematic review and meta-analysis of 47 cohorts including 12 million individuals. Diabetologia. 2019;62(9):1550–60.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Mullens W, Abrahams Z, Francis GS, Sokos G, Taylor DO, Starling RC, Young JB, Tang WHW. Importance of venous congestion for worsening of renal function in advanced decompensated heart failure. J Am Coll Cardiol. 2009;53(7):589–96.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Merrill AJ. Edema and decreased renal blood Flow in patients with chronic congestive heart failure: evidence of Forward failure as the primary cause of Edema. J Clin Invest. 1946;25(3):389–400.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Szymanski MK, de Boer RA, Navis GJ, van Gilst WH, Hillege HL. Animal models of cardiorenal syndrome: a review. Heart Fail Rev. 2012;17(3):411–20.

    Article  PubMed  Google Scholar 

  26. Akiyama E, Sugiyama S, Matsuzawa Y, Konishi M, Suzuki H, Nozaki T, Ohba K, Matsubara J, Maeda H, Horibata Y, et al. Incremental prognostic significance of peripheral endothelial dysfunction in patients with heart failure with normal left ventricular ejection fraction. J Am Coll Cardiol. 2012;60(18):1778–86.

    Article  PubMed  Google Scholar 

  27. Borlaug BA, Redfield MM. Diastolic and systolic heart failure are distinct phenotypes within the heart failure spectrum. Circulation. 2011;123(18):2006–13. discussion 2014.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Franssen C, Chen S, Unger A, Korkmaz HI, De Keulenaer GW, Tschope C, Leite-Moreira AF, Musters R, Niessen HW, Linke WA, et al. Myocardial microvascular inflammatory endothelial activation in heart failure with preserved ejection fraction. JACC Heart Fail. 2016;4(4):312–24.

    Article  PubMed  Google Scholar 

  29. Paulus WJ, Tschope C. A novel paradigm for heart failure with preserved ejection fraction: comorbidities drive myocardial dysfunction and remodeling through coronary microvascular endothelial inflammation. J Am Coll Cardiol. 2013;62(4):263–71.

    Article  PubMed  Google Scholar 

  30. Giamouzis G, Schelbert EB, Butler J. Growing evidence linking Microvascular Dysfunction with Heart failure with preserved ejection fraction. J Am Heart Assoc 2016, 5(2).

  31. Savji N, Meijers WC, Bartz TM, Bhambhani V, Cushman M, Nayor M, Kizer JR, Sarma A, Blaha MJ, Gansevoort RT, et al. The Association of Obesity and cardiometabolic traits with Incident HFpEF and HFrEF. JACC Heart Fail. 2018;6(8):701–9.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Simmonds SJ, Cuijpers I, Heymans S, Jones EAV. Cellular and Molecular differences between HFpEF and HFrEF: a step ahead in an Improved Pathological understanding. Cells 2020, 9(1).

  33. Ahlqvist E, Storm P, Karajamaki A, Martinell M, Dorkhan M, Carlsson A, Vikman P, Prasad RB, Aly DM, Almgren P, et al. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 2018;6(5):361–9.

    Article  PubMed  Google Scholar 

  34. Rayego-Mateos S, Rodrigues-Diez RR, Fernandez-Fernandez B, Mora-Fernandez C, Marchant V, Donate-Correa J, Navarro-Gonzalez JF, Ortiz A, Ruiz-Ortega M. Targeting inflammation to treat diabetic kidney disease: the road to 2030. Kidney Int. 2023;103(2):282–96.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We thank participants in SMART2D cohorts for their generous contributions. We thank staff from clinical research unit in Singapore Khoo Teck Puat hospital for participant recruitment, sample bio-banking and data curation.

Funding

This work was funded by KTPH STAR Grants (20201 and 23201) and Singapore National Medical Research Council Grants (MOH-000066, MOH-000714-01 and MOH-001327-02). The funders have no role in the study design, data analysis, manuscript writing or decision for publication.

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Author notes

  1. Sylvia Liu and Jian-Jun Liu are contributed equally to this work.

Authors and Affiliations

  1. Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore

    Sylvia Liu, Jian-Jun Liu, Keven Ang, Janus Lee, Clara Chan, Resham L. Gurung & Huili Zheng

  2. Cardiovascular and Metabolic Disorders Signature Research Program, DUKE-NUS Medical School, Singapore, 169857, Singapore

    Resham L. Gurung

  3. Department of Medicine, Khoo Teck Puat Hospital, Singapore, 768828, Singapore

    Justin Tang

  4. Saw Swee Hock School of Public Heath, National University of Singapore, Singapore, 117549, Singapore

    Su Chi Lim

  5. Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore

    Su Chi Lim

  6. Diabetes Centre, Khoo Teck Puat Hospital, Singapore, 768828, Singapore

    Su Chi Lim

Authors
  1. Sylvia Liu
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  8. Justin Tang
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  9. Su Chi Lim
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Contributions

JJL designed the study. SL, JJL, CC, JL, RLG, KA, JT and SCL obtained the data. SL, JJL and HZ performed data analysis. JJL drafted the manuscript. All co-authors interpreted the data, contributed important intellectual knowledge, revised the manuscript and approved publication of the manuscript. JJL and SCL are guarantors of this work and, as such, have full access to all data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Corresponding author

Correspondence to Su Chi Lim.

Ethics declarations

Ethics approval and consent to participate

This study was conducted in accordance with the principles laid by Declaration of Helsinki and approved by the Singapore National Healthcare Group Domain Specific Review Committee (DSRB 2019/00205, January 2019). All participants gave written informed consent.

Consent for publication

Not applicable.

Competing interests

RLG is Associate Editor of the journal Cardiovascular Diabetology.

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12933_2024_2279_MOESM1_ESM.docx

Supplementary Material 1:  Description of data: Figure S1: analysing incident heart failure as time-varying exposure. Figure S2: participant selection; Table S1: baseline characteristics of participants with incident HFpEF and HFrEF; Table S2: Association of incident heart failure with risk for progression to ESKD after excluding heart failure events occurred within 90 days before ESKD; Table S3: Association of incident heart failure with the composite of ESKD and non-renal death; Table S4: Hazard ratios and 95% confidence intervals of all covariates after additional adjustment for usage of diuretics and beta blocker in the multivariable Cox regression model.

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Liu, S., Liu, JJ., Ang, K. et al. Incident heart failure and the subsequent risk of progression to end stage kidney disease in individuals with type 2 diabetes. Cardiovasc Diabetol 23, 204 (2024). https://doi.org/10.1186/s12933-024-02279-y

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Keywords

Cardiovascular Diabetology

ISSN: 1475-2840