Next Article in Journal
Association between Extracorporeal Membrane Oxygenation (ECMO) and Mortality in the Patients with Cardiac Arrest: A Nation-Wide Population-Based Study with Propensity Score Matched Analysis
Previous Article in Journal
Organoids and Liquid Biopsy in Oral Cancer Research
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JCM
Volume 9
Issue 11
10.3390/jcm9113702
jcm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Contemporary National Outcomes of Acute Myocardial Infarction-Cardiogenic Shock in Patients with Prior Chronic Kidney Disease and End-Stage Renal Disease

by
Saraschandra Vallabhajosyula
1,2,3,4,*,
Lina Ya’Qoub
5,
Vinayak Kumar
6,
Dhiran Verghese
7,
Anna V. Subramaniam
6,
Sri Harsha Patlolla
1,
Viral K. Desai
8,
Pranathi R. Sundaragiri
9,
Wisit Cheungpasitporn
10,
Abhishek J. Deshmukh
1,
Kianoush Kashani
2,10 and
Gregory W. Barsness
1
1
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
2
Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
3
Center for Clinical and Translational Science, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN 55905, USA
4
Section of Interventional Cardiology, Division of Cardiovascular Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA
5
Division of Cardiovascular Medicine, Department of Medicine, Louisiana State University School of Medicine, Shreveport, LA 71115, USA
6
Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
7
Department of Medicine, Amita Health Saint Joseph Hospital, Chicago, IL 60657, USA
8
Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
9
Division of Hospital Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
10
Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(11), 3702; https://doi.org/10.3390/jcm9113702
Submission received: 20 October 2020 / Revised: 11 November 2020 / Accepted: 17 November 2020 / Published: 18 November 2020
(This article belongs to the Section Cardiology)
Browse Figures
Versions Notes

Abstract

:
Background: There are limited data on acute myocardial infarction with cardiogenic shock (AMI-CS) stratified by chronic kidney disease (CKD) stages. Objective: To assess clinical outcomes in AMI-CS stratified by CKD stages. Methods: A retrospective cohort of AMI-CS during 2005–2016 from the National Inpatient Sample was categorized as no CKD, CKD stage-III (CKD-III), CKD stage-IV (CKD-IV) and end-stage renal disease (ESRD). CKD-I/II were excluded. Outcomes included in-hospital mortality, use of coronary angiography, percutaneous coronary intervention (PCI) and mechanical circulatory support (MCS). We also evaluated acute kidney injury (AKI) and acute hemodialysis in non-ESRD admissions. Results: Of 372,412 AMI-CS admissions, CKD-III, CKD-IV and ESRD comprised 20,380 (5.5%), 7367 (2.0%) and 18,109 (4.9%), respectively. Admissions with CKD were, on average, older, of the White race, bearing Medicare insurance, of a lower socioeconomic stratum, with higher comorbidities, and higher rates of acute organ failure. Compared to the cohort without CKD, CKD-III, CKD-IV and ESRD had lower use of coronary angiography (72.7%, 67.1%, 56.9%, 61.1%), PCI (53.7%, 43.8%, 38.4%, 37.6%) and MCS (47.9%, 38.3%, 33.3%, 34.2%), respectively (all p < 0.001). AKI and acute hemodialysis use increased with increase in CKD stage (no CKD–38.5%, 2.6%; CKD-III–79.1%, 6.5%; CKD-IV–84.3%, 12.3%; p < 0.001). ESRD (adjusted odds ratio [OR] 1.25 [95% confidence interval {CI} 1.21–1.31]; p < 0.001), but not CKD-III (OR 0.72 [95% CI 0.69–0.75); p < 0.001) or CKD-IV (OR 0.82 [95 CI 0.77–0.87] was predictive of in-hospital mortality. Conclusions: CKD/ESRD is associated with lower use of evidence-based therapies. ESRD was an independent predictor of higher in-hospital mortality in AMI-CS.

1. Introduction

Chronic kidney disease (CKD) and end-stage renal disease (ESRD) have been associated with worse clinical outcomes and higher short- and long-term mortality in patients with acute myocardial infarction [AMI] [1,2,3,4]. CKD/ESRD are known predisposing factors for accelerated atherosclerosis and therefore, these patients often present with a higher risk profile and comorbidities, making them more susceptible to acute organ failure, including acute kidney injury (AKI) and mortality [3,5,6,7]. The risk of AKI is increased with an increase in the CKD stage, and AKI itself has been associated with high in-hospital mortality [2,3,8]. As such, it is not surprising that some studies have shown that these patients tend to receive less invasive treatments, including coronary angiography, percutaneous coronary interventions (PCI) and mechanical circulatory support (MCS), mainly due to concerns relating to contrast-associated AKI, worsening kidney function and need for potential acute renal replacement therapy [2,5]. On the other hand, few studies have shown that revascularization following AMI among patients with advanced CKD is associated with improved outcomes and survival.
Traditionally, patients with CKD/ESRD had been excluded in around half of all cardiovascular studies. Thus, clinical outcomes in this high-risk population remain unclear with only limited data and scarce evidence in AMI, especially in cardiogenic shock complicating AMI (AMI-CS) [2,9]. Among a few major trials in AMI-CS, one suggested the prevalence of CKD in AMI-CS to be 17% [10]. A separate analysis of the IABP-SHOCK II (intraaortic balloon pump in cardiogenic shock II) trial showed that serum creatinine >1.5 mg/dL is an independent predictor of 30 day mortality in AMI-CS [11]. Furthermore, prior data have demonstrated that patients with renal insufficiency have higher rates of developing CS [12]. It is known that patients with AMI-CS constitute the sickest spectrum following AMI and have higher comorbidities, worse organ failure and higher in-hospital mortality despite prompt delivery of cardiovascular care [5,6,7,12,13,14,15,16,17,18,19,20,21,22]. There are limited contemporary data from the United States on the outcomes of CKD/ESRD among patients with AMI-CS.
This study sought to evaluate this clinical question using a large national database. We hypothesized that among patients with AMI-CS who have CKD/ESRD, the risk of in-hospital mortality is higher. Furthermore, we hypothesized that admissions with CKD/ESRD would have lower utilization of coronary angiography, PCI and MCS due to their compromised renal function.

2. Material and Methods

2.1. Study Population, Variables and Outcomes

The National (Nationwide) Inpatient Sample [NIS] is the largest all-payer database of hospital inpatient in the United States. NIS contains discharge data from a 20% stratified sample of community hospitals. The NIS is maintained by the Healthcare Quality and Utilization Project (HCUP), sponsored by the Agency for Healthcare Research and Quality [23]. Information regarding each discharge includes patient demographics, primary payer, hospital characteristics, principal diagnosis, along with up to 39 secondary diagnoses and procedural diagnoses. These data are available to other authors via the HCUP-NIS database with the Agency for Healthcare Research and Quality [23]. Hospital characteristics such as bed size, region and location and teaching status were identified using previously reported methodology [13].
Using the HCUP-NIS data from 2005–2016, a retrospective cohort study of admissions with AMI in the primary diagnosis field (International Classification of Diseases 9.0 Clinical Modification [ICD-9CM] 410.x and ICD-10CM I21.x-22.x) and a secondary diagnosis of CS (ICD-9CM 785.51, ICD-10CM R57.0) were identified [24]. Similar to prior literature, prior CKD/ESRD was identified using ICD-9CM 585.x and ICD-10CM N18.x codes [8]. The use of chronic dialysis was identified using ICD-9CM 39.95/ICD-10CM 5A1D70Z, 5A1D80Z, 5A1D90Z (hemodialysis) and ICD-9CM 54.98/ICD-10CM 3E1M39Z (peritoneal dialysis) in the absence of a concomitant diagnosis of AKI [5,7]. Prior validation studies of CKD administrative codes have shown a sensitivity of 82%, a specificity of 99%, a positive predictive value of 71% and a negative predictive value of 99% [25]. We excluded admissions <18 years of age, with missing in-hospital mortality data, and those with a diagnosis of CKD stage I or stage II since these codes have been found to be insensitive in the hospital setting [26]. The overall AMI-CS cohort was divided into those with no CKD, CKD stage III (CKD-III), CKD stage IV (CKD-IV) and ESRD (CKD-V, ESRD, chronic dialysis) [8]. Deyo’s modification of the Charlson Comorbidity Index was used to identify the burden of comorbid conditions (Supplementary Table S1) [27]. All variables were identified for all admissions using previously used methodologies from our group [5,6,7,12,13,14,15,16,17,19,20,21,28,29,30,31,32,33,34,35,36,37,38]. AKI was identified using ICD-9CM 584 (acute renal failure (ARF), 584.5 (ARF with tubular necrosis), 584.6 (ARF with renal cortical necrosis), 584.7 (ARF with papillary necrosis), 584.8 (ARF with another pathological lesion) and 584.9 (ARF, unspecified), which has been shown to have a high specificity (98%) and negative predictive value (96%) [5].
The primary outcome was the in-hospital mortality in AMI-CS admissions stratified by CKD stage. Secondary outcomes included temporal trends, use of coronary angiography, PCI, MCS, length of stay, hospitalization costs and discharge disposition among the CKD cohorts. We also evaluated the prevalence of AKI and acute hemodialysis use in the no CKD, CKD-III and CKD-IV cohorts.

2.2. Statistical Analysis

As recommended by HCUP-NIS, survey procedures using discharge weights provided with the HCUP-NIS database were used to generate national estimates. Using the trend weights provided by the HCUP-NIS, samples from 2005–2011 were re-weighted to adjust for the 2012 HCUP-NIS re-design [39]. One-way analysis of variance and t-tests were used to compare categorical and continuous variables, respectively. Logistic regression was used to analyze trends over time (referent year 2005). The inherent restrictions of the HCUP-NIS database related to research design, data interpretation and data analysis were reviewed and addressed [39]. Pertinent considerations include not assessing individual hospital-level volumes [due to changes to sampling design detailed above], treating each entry as an ‘admission’ as opposed to individual patients, restricting the study details to inpatient factors since the HCUP-NIS does not include outpatient data and limiting administrative codes to those previously validated and used for similar studies [5,6,7,13,14,15,17,19,20,28,29,30,31]. Univariable analyses for trends and outcomes were performed, and their results were represented as odds ratios (OR) with a 95% confidence interval (CI). Multivariable logistic regression analysis incorporating age, sex, race, primary payer status, socioeconomic stratum, hospital characteristics, comorbidities, acute organ failure, AMI-type, cardiac procedures, and noncardiac procedures was performed for temporal trends analyses. For the multivariable modeling, regression analysis with purposeful selection of statistically (liberal threshold of p < 0.20 in univariate analysis) and clinically relevant variables was conducted. Two-tailed p < 0.05 was considered statistically significant. All statistical analyses were performed using SPSS v25.0 (IBM Corp., Armonk, NY, USA).

3. Results

In the period between 1 January 2005, and 31 December 2016, there were over 10 million AMI admissions, of which 372,412 AMI-CS admissions met the inclusion criteria. CKD-III, CKD-IV and ESRD comprised 20,380 (5.5%), 7367 (2.0%) and 18,109 (4.9%), respectively. Admissions with CKD were on average older (69–73 years vs. 68 years), of the White race, bearing Medicare insurance, of a lower socioeconomic stratum, and had higher comorbidities (all p < 0.001) (Table 1). The CKD and ESRD cohorts presented more frequently with a non-ST-segment elevation AMI-CS (57–63% vs. 33%), had higher rates of acute organ failure but lower rates of out-of-hospital cardiac arrest (all p < 0.001) (Table 1). The use of coronary angiography, PCI, MCS and right heart or pulmonary artery catheterization was lower with higher stages of CKD (Table 1). The temporal trends of coronary angiography, PCI, MCS and invasive hemodynamic monitoring use stratified by CKD stage are presented in Figure 1A–D. The cohorts with CKD and ESRD consistently received less frequent coronary angiography, PCI and MCS over the 12 year study period. The cohorts with no CKD, CKD-III and CKD-IV had progressively higher rates of in-hospital AKI and the use of in-hospital acute hemodialysis (Table 2). The 12 year temporal trends of AKI and acute hemodialysis use in this population are presented in Figure 2A,B. The various CKD stages had consistently higher rates of AKI and acute hemodialysis use during this study period compared to the cohort without CKD.
Compared to those without CKD, the all-cause unadjusted in-hospital mortality was higher in admissions with CKD-IV (34.4% vs. 39.0%; OR 1.22 [95% CI 1.16–1.28]; p < 0.001) and ESRD (34.4% vs. 43.2%; OR 1.45 [95% CI 1.41–1.49]; p < 0.001), but not CKD-III (34.4% vs. 30.9%; OR 0.85 [95% CI 0.83–0.88]; p < 0.001). In a multivariable logistic regression for in-hospital mortality, the cohort with ESRD (OR 1.25 [95% CI 1.21–1.31]; p < 0.001), but not CKD-III (OR 0.72 [95% CI 0.69–0.75); p < 0.001) or CKD-IV (OR 0.82 [95 CI 0.77–0.87]; p < 0.001) had higher in-hospital mortality compared to the cohort without CKD (Supplementary Table S2). The unadjusted and adjusted temporal trends of in-hospital mortality in the cohorts stratified by CKD are presented in Figure 2C,D. There was a steady decrease in in-hospital mortality during this study period, though admissions with CKD-IV and the ESRD cohorts had higher rates than the cohorts with no CKD and CKD-III. The cohorts with CKD and ESRD had a longer hospital stay, higher hospitalization costs and fewer discharges to home (Table 2).

4. Discussion

In this nationally representative study, CKD was seen in 12% of all AMI-CS admissions, of which 5% had ESRD. Admissions with CKD were typically older, with higher comorbidities and greater severity of illness. Despite the higher comorbidities and acuity, guideline-directed therapies such as coronary angiography, PCI and MCS were provided less frequently to the CKD and ESRD cohorts. Though temporal trends showed a steady increase in these therapies across all CKD stages, the overall use was lower in comparison with admissions without CKD. ESRD, but not CKD, was an independent marker of higher in-hospital mortality in AMI-CS.
Patients with moderate to severe CKD are considered a high-risk group for accelerated atherosclerosis. This is potentially due to increased inflammation, higher sympathetic tone and increased activity of the renin–angiotensin–aldosterone system [3]. These patients with CKD/ESRD who present with AMI often have high-risk characteristics and more comorbidities, including older age, presence of diabetes mellitus, previous coronary artery disease, left ventricular hypertrophy and congestive heart failure [3]. Our study confirms the higher prevalence of comorbidities, higher incidence of acute organ failure and lower socioeconomic status in patients with CKD/ESRD presenting with AMI-CS. Lower socioeconomic status is associated with worse in-hospital and long-term outcomes and may, therefore, serve both as a cause and effect of advanced comorbidities, including CKD/ESRD [40]. Therefore, CKD patients constitute a higher risk population.
CKD and ESRD have been associated with worse clinical outcomes, including increased cardiovascular complications and mortality in AMI [1,3,41,42,43]. Prior work from our center in 3106 patients with CKD/ESRD and AMI noted incremental in-hospital mortality with higher CKD stages, i.e., 2% in patients with normal renal function, 6% in mild renal failure, 14% in moderate renal failure, 21% in severe kidney failure and 30% in end-stage renal disease (p < 0.001) [42]. In a retrospective review of 130,099 patients with CKD, Shlipak et al. found less use of guideline-directed therapies, including PCI, in patients with CKD. They noted a similar trend of incremental mortality with an increase in the CKD stage [43]. In a scientific statement from the American Heart Association in 2003, Sarnak et al. noted long-term mortality is higher in CKD patients after acute coronary syndrome, and the risk of subsequent adverse cardiovascular events is also higher, with a 2 year mortality rate of 50%; double that of patients with normal renal function [4]. In contrast to these prior studies, our study evaluating AMI-CS admissions did not demonstrate CKD to be an independent risk factor for mortality; however, ESRD did predict higher in-hospital mortality. This may be postulated by the following reasons: (a) as compared to those studies, our study population was significantly larger and more representative of the contemporary national practice in the United States; (b) these studies were conducted in the late-1990s and early 2000s when early revascularization was just taking priority in the management of AMI-CS [44]; (c) it is conceivable that with the change in the landscape of AMI-CS, we are treating a sicker population today wherein the higher comorbidity is lesser important that greater illness severity and organ failure [5,6,14,15,17]; (d) careful attention to intra-procedural factors during angiography and careful hemodynamic management of AMI-CS is associated with improvement in clinical outcomes overall [45].
Patients with AMI-CS in the setting of CKD are at increased risk of acute organ failure, including AKI, which itself is known to be associated with worse outcomes [5,7,22,46,47,48]. Furthermore, the receipt of acute dialysis for AKI is associated with an incremental risk over AKI without the need for acute dialysis [22]. In our prior analysis of 440,257 admissions with AMI-CS, we noted AKI and acute dialysis use in 3% and 3.4%, respectively [5]. Compared to admissions without AKI, those with AKI or dialysis requiring AKI were more likely to have prior CKD (7%, 23% and 36%) (p < 0.001) [5]. In another retrospective analysis by Marenzi et al., 25% of CS patients with AKI required dialysis, and the use of dialysis was associated with an excess in-hospital mortality risk of 16% compared to those without dialysis (62% versus 46%) [47]. In their Danish registry that included 5079 patients with AMI-CS, Lauridsen et al. found that 13% had AKI requiring dialysis and that these patients had higher in-hospital and long-term mortality over 5 years as well as a higher risk for requiring chronic dialysis [22]. Further data are needed on the optimal angiographic and hemodynamic management of AKI in CKD patients to address this high-risk population.
Patients with AMI-CS in the setting of CKD/ESRD are complex and challenging to manage [1,2,8,9]. It is known that CKD/ESRD patients are at increased risk for both thrombotic and bleeding complications, potentially affecting clinical decision-making regarding the choice of guideline-directed medical therapies, including antithrombotic agents, as well as invasive procedures and reperfusion strategies [1,3,8,41,49]. In addition, patients with CKD are at increased risk for contrast associated-AKI, which itself is associated with increased cardiac complications [3,41]. As such, it is very important to weigh the risks and benefits of management options in patients with CKD/ESRD [5,6,7]. Studies have shown that guideline-directed medical therapies and invasive procedures are less frequently utilized in AMI in patients with CKD/ESRD, despite the fact that patients treated with PCI had lower mortality compared to those treated with conservative medical treatment [1,2,41]. Prior work from our group utilizing the HCUP-NIS database evaluated 4,488,795 hospitalizations for non-ST-segment-elevation AMI and noted CKD or ESRD in 11% [8]. We observed that in non-ST-segment elevation AMI admissions with CKD stages 4 and 5 had 41% and 20% less likelihood, respectively, of undergoing PCI compared with those with no CKD. The cohort treated with PCI had lower in-hospital mortality compared to those managed medically across all CKD stages [8]. Similarly, this current study confirms what prior studies have shown that patients with CKD/ESRD tend to receive less coronary angiography, PCI and MCS. However, as noted above, our study on AMI-CS did not show mortality differences based on the CKD stage as compared to all comers with non-ST-segment elevation AMI.

5. Limitations

This study has several limitations, some of which are inherent to the analysis of a large administrative database. The HCUP-NIS attempts to mitigate potential errors by using internal and external quality control measures. The administrative codes for AMI and CS have been previously validated that reduces the inherent errors in the study. Though the administrative codes for CKD have been previously validated, this study does not use laboratory or urine output criteria to determine CKD and AKI, which are more reliable [50,51,52]. The timing of CKD and AKI and treatment-limiting decisions could not be reliably identified in this hospital admissions database. It is possible that a minority of the included admissions had creatinine elevations without AKI [i.e., no tubular injury] [53]. The lack of echocardiographic, hemodynamic and angiographic data, target vessel for PCI, classification, and the presence of multivessel disease, use and doses of inotropes and vasopressors, that may significantly influence outcomes, were not available in this database. Despite the IABP-SHOCK II data demonstrating the limited role of the intra-aortic balloon pump, it remained the most commonly used MCS device in this national study. Despite these limitations, this study addresses an important knowledge gap highlighting the contemporary temporal trends and outcomes of AMI-CS stratified by CKD severity.

6. Conclusions

In this national study, prior moderate-to-severe CKD was seen in 12% of all admissions and constituted a vulnerable population with higher comorbidity and acute organ failure. Despite robust guidelines, these populations have lower utilization of coronary angiography, PCI and MCS for AMI-CS management. ESRD, but not CKD, was an independent predictor of higher in-hospital mortality. Further research on the choice of optimal patient, procedural and clinical factors is required to improve clinical outcomes in this sick population.

Supplementary Materials

The following are available online at https://www.mdpi.com/2077-0383/9/11/3702/s1. Table S1: Administrative codes used for identification of diagnoses and procedures, Table S2: Predictors of mortality in acute myocardial infarction with cardiogenic shock.

Author Contributions

Study design, literature review, statistics: S.V., L.Y., V.K., D.V., A.V.S., S.H.P., V.K.D., P.R.S., W.C.; data management, drafting manuscript: S.V., L.Y., V.K., D.V., A.V.S., S.H.P., V.K.D., P.R.S., W.C.; Access to data: S.V., L.Y., V.K., D.V., A.V.S., S.H.P., V.K.D., P.R.S., W.C., A.J.D., K.K., G.W.B.; manuscript revision, intellectual revisions, mentorship: A.J.D., K.K., G.W.B.; final approval: S.V., L.Y., V.K., D.V., A.V.S., S.H.P., V.K.D., P.R.S., W.C., A.J.D., K.K., G.W.B. All authors have read and agreed to the published version of the manuscript.

Funding

S.V. is supported by the Clinical and Translational Science Award (CTSA) Grant Number UL1 TR000135 from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH). Its contents are solely the responsibility of the authors and do not necessarily represent the official view of NIH.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

AKIAcute kidney injury
AMIAcute myocardial infarction
CIConfidence interval
CKDChronic kidney disease
CSCardiogenic shock
ESRDEnd-stage renal disease
HCUPHealthcare cost and utilization project
ICD-9CMInternational Classification of Diseases-9 Clinical Modification
ICD-10CMInternational Classification of Diseases-10 Clinical Modification
MCSMechanical circulatory support
NISNational/Nationwide Inpatient Sample
OROdds ratio
PCIPercutaneous coronary intervention

References

  1. Santolucito, P.A.; Tighe, D.A.; McManus, D.D.; Yarzebski, J.; Lessard, D.; Gore, J.M.; Goldberg, R.J. Management and outcomes of renal disease and acute myocardial infarction. Am. J. Med. 2010, 123, 847–855. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Hira, R.S. Care of patients with chronic kidney disease presenting with acute coronary syndrome: Improved, but not good enough. J. Am. Heart Assoc. 2018, 7, e011254. [Google Scholar] [CrossRef] [PubMed]
  3. Han, J.H.; Chandra, A.; Mulgund, J.; Roe, M.T.; Peterson, E.D.; Szczech, L.A.; Patel, U.; Ohman, E.M.; Lindsell, C.J.; Gibler, W.B. Chronic kidney disease in patients with non-ST-segment elevation acute coronary syndromes. Am. J. Med. 2006, 119, 248–254. [Google Scholar] [CrossRef]
  4. Sarnak, M.J.; Levey, A.S.; Schoolwerth, A.C.; Coresh, J.; Culleton, B.; Hamm, L.L.; McCullough, P.A.; Kasiske, B.L.; Kelepouris, E.; Klag, M.J.; et al. Kidney disease as a risk factor for development of cardiovascular disease: A statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Circulation 2003, 108, 2154–2169. [Google Scholar] [CrossRef] [PubMed]
  5. Vallabhajosyula, S.; Dunlay, S.M.; Barsness, G.W.; Vallabhajosyula, S.; Vallabhajosyula, S.; Sundaragiri, P.R.; Gersh, B.J.; Jaffe, A.S.; Kashani, K. Temporal trends, predictors, and outcomes of acute kidney injury and hemodialysis use in acute myocardial infarction-related cardiogenic shock. PLoS ONE 2019, 14, e0222894. [Google Scholar] [CrossRef] [PubMed]
  6. Vallabhajosyula, S.; Dunlay, S.M.; Prasad, A.; Kashani, K.; Sakhuja, A.; Gersh, B.J.; Jaffe, A.S.; Holmes, D.R., Jr.; Barsness, G.W. Acute noncardiac organ failure in acute myocardial infarction with cardiogenic shock. J. Am. Coll. Cardiol. 2019, 73, 1781–1791. [Google Scholar] [CrossRef] [PubMed]
  7. Vallabhajosyula, S.; Ya’Qoub, L.; Dunlay, S.M.; Vallabhajosyula, S.; Vallabhajosyula, S.; Sundaragiri, P.R.; Jaffe, A.S.; Gersh, B.J.; Kashani, K. Sex disparities in acute kidney injury complicating acute myocardial infarction with cardiogenic shock. ESC Heart Fail. 2019, 6, 874–877. [Google Scholar] [CrossRef] [Green Version]
  8. Bhatia, S.; Arora, S.; Bhatia, S.M.; Al-Hijji, M.; Reddy, Y.N.V.; Patel, P.; Rihal, C.S.; Gersh, B.J.; Deshmukh, A. Non-ST-segment-elevation myocardial infarction among patients with chronic kidney disease: A propensity score-matched comparison of percutaneous coronary intervention versus conservative management. J. Am. Heart Assoc. 2018, 7, e007920. [Google Scholar] [CrossRef]
  9. Januzzi, J.L.; Cannon, C.P.; di Battiste, P.M.; Murphy, S.; Weintraub, W.; Braunwald, E. Effects of renal insufficiency on early invasive management in patients with acute coronary syndromes (The TACTICS-TIMI 18 Trial). Am. J. Cardiol. 2002, 90, 1246–1249. [Google Scholar] [CrossRef]
  10. Alushi, B.; Douedari, A.; Froehlig, G.; Knie, W.; Wurster, T.H.; Leistner, D.M.; Stahli, B.E.; Mochmann, H.C.; Pieske, B.; Landmesser, U.; et al. Impella versus IABP in acute myocardial infarction complicated by cardiogenic shock. Open Heart 2019, 6, e000987. [Google Scholar] [CrossRef] [Green Version]
  11. Poss, J.; Koster, J.; Fuernau, G.; Eitel, I.; de Waha, S.; Ouarrak, T.; Lassus, J.; Harjola, V.P.; Zeymer, U.; Thiele, H.; et al. Risk stratification for patients in cardiogenic shock after acute myocardial infarction. J. Am. Coll. Cardiol. 2017, 69, 1913–1920. [Google Scholar] [CrossRef] [PubMed]
  12. Vallabhajosyula, S.; Prasad, A.; Sandhu, G.S.; Bell, M.R.; Gulati, R.; Eleid, M.F.; Best, P.J.M.; Gersh, B.J.; Singh, M.; Lerman, A.; et al. Mechanical circulatory support-assisted early percutaneous coronary intervention in acute myocardial infarction with cardiogenic shock: 10-year national temporal trends, predictors and outcomes. EuroIntervention 2019. [Google Scholar] [CrossRef]
  13. Vallabhajosyula, S.; Dunlay, S.M.; Barsness, G.W.; Rihal, C.S.; Holmes, D.R., Jr.; Prasad, A. Hospital-level disparities in the outcomes of acute myocardial infarction with cardiogenic shock. Am. J. Cardiol. 2019, 124, 491–498. [Google Scholar] [CrossRef] [PubMed]
  14. Vallabhajosyula, S.; Dunlay, S.M.; Kashani, K.; Vallabhajosyula, S.; Vallabhajosyula, S.; Sundaragiri, P.R.; Jaffe, A.S.; Barsness, G.W. Temporal trends and outcomes of prolonged invasive mechanical ventilation and tracheostomy use in acute myocardial infarction with cardiogenic shock in the United States. Int. J. Cardiol. 2019, 285, 6–10. [Google Scholar] [CrossRef] [PubMed]
  15. Vallabhajosyula, S.; Dunlay, S.M.; Murphree, D.H., Jr.; Barsness, G.W.; Sandhu, G.S.; Lerman, A.; Prasad, A. Cardiogenic shock in takotsubo cardiomyopathy versus acute myocardial infarction: An 8-year national perspective on clinical characteristics, management, and outcomes. JACC Heart Fail. 2019, 7, 469–476. [Google Scholar] [CrossRef] [PubMed]
  16. Vallabhajosyula, S.; El Hajj, S.C.; Bell, M.R.; Prasad, A.; Lerman, A.; Rihal, C.S.; Holmes, D.R., Jr.; Barsness, G.W. Intravascular ultrasound, optical coherence tomography, and fractional flow reserve use in acute myocardial infarction. Catheter Cardiovasc. Interv. 2019. [Google Scholar] [CrossRef]
  17. Vallabhajosyula, S.; Kashani, K.; Dunlay, S.M.; Vallabhajosyula, S.; Vallabhajosyula, S.; Sundaragiri, P.R.; Gersh, B.J.; Jaffe, A.S.; Barsness, G.W. Acute respiratory failure and mechanical ventilation in cardiogenic shock complicating acute myocardial infarction in the USA, 2000–2014. Ann. Intensive Care 2019, 9, 96. [Google Scholar] [CrossRef] [Green Version]
  18. Vallabhajosyula, S.; O’Horo, J.C.; Antharam, P.; Ananthaneni, S.; Vallabhajosyula, S.; Stulak, J.M.; Eleid, M.F.; Dunlay, S.M.; Gersh, B.J.; Rihal, C.S.; et al. Concomitant intra-aortic balloon pump use in cardiogenic shock requiring veno-arterial extracorporeal membrane oxygenation. Circ. Cardiovasc. Interv. 2018, 11, e006930. [Google Scholar] [CrossRef]
  19. Vallabhajosyula, S.; Prasad, A.; Dunlay, S.M.; Murphree, D.H., Jr.; Ingram, C.; Mueller, P.S.; Gersh, B.J.; Holmes, D.R., Jr.; Barsness, G.W. Utilization of palliative care for cardiogenic shock complicating acute myocardial infarction: A 15-year national perspective on trends, disparities, predictors, and outcomes. J. Am. Heart Assoc. 2019, 8, e011954. [Google Scholar] [CrossRef] [Green Version]
  20. Vallabhajosyula, S.; Prasad, A.; Gulati, R.; Barsness, G.W. Contemporary prevalence, trends, and outcomes of coronary chronic total occlusions in acute myocardial infarction with cardiogenic shock. Int. J. Cardiol. Heart Vasc. 2019, 24, 100414. [Google Scholar] [CrossRef]
  21. Vallabhajosyula, S.; Vallabhajosyula, S.; Bell, M.R.; Prasad, A.; Singh, M.; White, R.D.; Jaffe, A.S.; Holmes, D.R., Jr.; Jentzer, J.C. Early vs. delayed in-hospital cardiac arrest complicating ST-elevation myocardial infarction receiving primary percutaneous coronary intervention. Resuscitation 2020, 148, 242–250. [Google Scholar] [CrossRef] [PubMed]
  22. Lauridsen, M.D.; Gammelager, H.; Schmidt, M.; Rasmussen, T.B.; Shaw, R.E.; Botker, H.E.; Sorensen, H.T.; Christiansen, C.F. Acute kidney injury treated with renal replacement therapy and 5-year mortality after myocardial infarction-related cardiogenic shock: A nationwide population-based cohort study. Crit. Care 2015, 19, 452. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Introduction to the HCUP Nationwide Inpatient Sample. 2009. Available online: http://www.hcup-us.ahrq.gov/db/nation/nis/NIS_2009_INTRODUCTION.pdf (accessed on 18 January 2015).
  24. Coloma, P.M.; Valkhoff, V.E.; Mazzaglia, G.; Nielsson, M.S.; Pedersen, L.; Molokhia, M.; Mosseveld, M.; Morabito, P.; Schuemie, M.J.; van der Lei, J.; et al. Identification of acute myocardial infarction from electronic healthcare records using different disease coding systems: A validation study in three European countries. BMJ Open 2013, 3, e002862. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Quan, H.; Li, B.; Saunders, L.D.; Parsons, G.A.; Nilsson, C.I.; Alibhai, A.; Ghali, W.A. Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv. Res. 2008, 43, 1424–1441. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Ronksley, P.E.; Tonelli, M.; Quan, H.; Manns, B.J.; James, M.T.; Clement, F.M.; Samuel, S.; Quinn, R.R.; Ravani, P.; Brar, S.S.; et al. Validating a case definition for chronic kidney disease using administrative data. Nephrol. Dial. Transplant. 2012, 27, 1826–1831. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Quan, H.; Sundararajan, V.; Halfon, P.; Fong, A.; Burnand, B.; Luthi, J.C.; Saunders, L.D.; Beck, C.A.; Feasby, T.E.; Ghali, W.A. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med. Care 2005, 43, 1130–1139. [Google Scholar] [CrossRef]
  28. Subramaniam, A.V.; Barsness, G.W.; Vallabhajosyula, S.; Vallabhajosyula, S. Complications of temporary percutaneous mechanical circulatory support for cardiogenic shock: An appraisal of contemporary literature. Cardiol. Ther. 2019, 8, 211–228. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Vallabhajosyula, S.; Arora, S.; Lahewala, S.; Kumar, V.; Shantha, G.P.S.; Jentzer, J.C.; Stulak, J.M.; Gersh, B.J.; Gulati, R.; Rihal, C.S.; et al. Temporary mechanical circulatory support for refractory cardiogenic shock before left ventricular assist device surgery. J. Am. Heart Assoc. 2018, 7, e010193. [Google Scholar] [CrossRef] [Green Version]
  30. Vallabhajosyula, S.; Arora, S.; Sakhuja, A.; Lahewala, S.; Kumar, V.; Shantha, G.P.S.; Egbe, A.C.; Stulak, J.M.; Gersh, B.J.; Gulati, R.; et al. Trends, predictors, and outcomes of temporary mechanical circulatory support for postcardiac surgery cardiogenic shock. Am. J. Cardiol. 2019, 123, 489–497. [Google Scholar] [CrossRef]
  31. Vallabhajosyula, S.; Deshmukh, A.J.; Kashani, K.; Prasad, A.; Sakhuja, A. Tako-tsubo cardiomyopathy in severe sepsis: Nationwide trends, predictors, and outcomes. J. Am. Heart Assoc. 2018, 7, e009160. [Google Scholar] [CrossRef] [Green Version]
  32. Vallabhajosyula, S.; Vallabhajosyula, S.; Burstein, B.; Ternus, B.W.; Sundaragiri, P.R.; White, R.D.; Barsness, G.W.; Jentzer, J.C. Epidemiology of in-hospital cardiac arrest complicating non-ST-segment elevation myocardial infarction receiving early coronary angiography. Am. Heart J. 2020, 223, 59–64. [Google Scholar] [CrossRef] [PubMed]
  33. Vallabhajosyula, S.; Jentzer, J.C.; Zack, C.J. Cardiac arrest definition using administrative codes and outcomes in acute myocardial infarction. Mayo Clin. Proc. 2020, 95, 611–613. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Vallabhajosyula, S.; Kumar, V.; Vallabhajosyula, S.; Subramaniam, A.V.; Patlolla, S.H.; Verghese, D.; Ya’Qoub, L.; Stulak, J.M.; Sandhu, G.S.; Prasad, A.; et al. Acute myocardial infarction-cardiogenic shock in patients with prior coronary artery bypass grafting: A 16-year national cohort analysis of temporal trends, management and outcomes. Int. J. Cardiol. 2020. [Google Scholar] [CrossRef] [PubMed]
  35. Vallabhajosyula, S.; Patlolla, S.H.; Dunlay, S.M.; Prasad, A.; Bell, M.R.; Jaffe, A.S.; Gersh, B.J.; Rihal, C.S.; Holmes, D.R., Jr.; Barsness, G.W. Regional variation in the management and outcomes of acute myocardial infarction with cardiogenic shock in the United States. Circ. Heart Fail. 2020, 13, e006661. [Google Scholar] [CrossRef] [PubMed]
  36. Vallabhajosyula, S.; Bell, M.R.; Sandhu, G.S.; Jaffe, A.S.; Holmes, D.R., Jr.; Barsness, G.W. Complications in patients with acute myocardial infarction supported with extracorporeal membrane oxygenation. J. Clin. Med. 2020, 9, 839. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Vallabhajosyula, S.; Shankar, A.; Patlolla, S.H.; Prasad, A.; Bell, M.R.; Jentzer, J.C.; Arora, S.; Vallabhajosyula, S.; Gersh, B.J.; Jaffe, A.S.; et al. Pulmonary artery catheter use in acute myocardial infarction-cardiogenic shock. ESC Heart Fail. 2020. [Google Scholar] [CrossRef] [PubMed]
  38. Vallabhajosyula, S.; Patlolla, S.H.; Verghese, D.; Ya’Qoub, L.; Kumar, V.; Subramaniam, A.V.; Cheungpasitporn, W.; Sundaragiri, P.R.; Noseworthy, P.A.; Mulpuru, S.K.; et al. Burden of arrhythmias in acute myocardial infarction complicated by cardiogenic shock. Am. J. Cardiol. 2020. [Google Scholar] [CrossRef]
  39. Khera, R.; Krumholz, H.M. With great power comes great responsibility: Big data research from the National Inpatient Sample. Circ. Cardiovasc. Qual. Outcomes 2017, 10, e003846. [Google Scholar] [CrossRef]
  40. Schultz, W.M.; Kelli, H.M.; Lisko, J.C.; Varghese, T.; Shen, J.; Sandesara, P.; Quyyumi, A.A.; Taylor, H.A.; Gulati, M.; Harold, J.G.; et al. Socioeconomic status and cardiovascular outcomes: Challenges and interventions. Circulation 2018, 137, 2166–2178. [Google Scholar] [CrossRef]
  41. Conti, C.R. Management of patients with acute myocardial infarction and end-stage renal disease. J. Am. Coll. Cardiol. 2003, 42, 209–210. [Google Scholar] [CrossRef] [Green Version]
  42. Wright, R.S.; Reeder, G.S.; Herzog, C.A.; Albright, R.C.; Williams, B.A.; Dvorak, D.L.; Miller, W.L.; Murphy, J.G.; Kopecky, S.L.; Jaffe, A.S. Acute myocardial infarction and renal dysfunction: A high-risk combination. Ann. Intern. Med. 2002, 137, 563–570. [Google Scholar] [CrossRef] [PubMed]
  43. Shlipak, M.G.; Heidenreich, P.A.; Noguchi, H.; Chertow, G.M.; Browner, W.S.; McClellan, M.B. Association of renal insufficiency with treatment and outcomes after myocardial infarction in elderly patients. Ann. Intern. Med. 2002, 137, 555–562. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Hochman, J.S.; Sleeper, L.A.; Webb, J.G.; Sanborn, T.A.; White, H.D.; Talley, J.D.; Buller, C.E.; Jacobs, A.K.; Slater, J.N.; Col, J.; et al. Early revascularization in acute myocardial infarction complicated by cardiogenic shock. SHOCK investigators. Should we emergently revascularize occluded coronaries for cardiogenic shock. N. Engl. J. Med. 1999, 341, 625–634. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Vallabhajosyula, S.; Barsness, G.W.; Vallabhajosyula, S. Multidisciplinary teams for cardiogenic shock. Aging (Albany NY) 2019, 11, 4774–4776. [Google Scholar] [CrossRef] [PubMed]
  46. Fox, C.S.; Muntner, P.; Chen, A.Y.; Alexander, K.P.; Roe, M.T.; Wiviott, S.D. Short-term outcomes of acute myocardial infarction in patients with acute kidney injury: A report from the national cardiovascular data registry. Circulation 2012, 125, 497–504. [Google Scholar] [CrossRef] [Green Version]
  47. Marenzi, G.; Assanelli, E.; Campodonico, J.; de Metrio, M.; Lauri, G.; Marana, I.; Moltrasio, M.; Rubino, M.; Veglia, F.; Montorsi, P.; et al. Acute kidney injury in ST-segment elevation acute myocardial infarction complicated by cardiogenic shock at admission. Crit. Care Med. 2010, 38, 438–444. [Google Scholar] [CrossRef]
  48. Sun, Y.B.; Tao, Y.; Yang, M. Assessing the influence of acute kidney injury on the mortality in patients with acute myocardial infarction: A clinical trial. Ren. Fail. 2018, 40, 75–84. [Google Scholar] [CrossRef] [Green Version]
  49. Smilowitz, N.R.; Gupta, N.; Guo, Y.; Mauricio, R.; Bangalore, S. Management and outcomes of acute myocardial infarction in patients with chronic kidney disease. Int. J. Cardiol. 2017, 227, 1–7. [Google Scholar] [CrossRef]
  50. Kotecha, A.; Vallabhajosyula, S.; Coville, H.H.; Kashani, K. Cardiorenal syndrome in sepsis: A narrative review. J. Crit. Care 2018, 43, 122–127. [Google Scholar] [CrossRef]
  51. Sakhuja, A.; Bandak, G.; Barreto, E.F.; Vallabhajosyula, S.; Jentzer, J.; Albright, R.; Kashani, K.B. Role of loop diuretic challenge in stage 3 acute kidney injury. Mayo Clin. Proc. 2019, 94, 1509–1515. [Google Scholar] [CrossRef]
  52. Vallabhajosyula, S.; Sakhuja, A.; Geske, J.B.; Kumar, M.; Kashyap, R.; Kashani, K.; Jentzer, J.C. Clinical profile and outcomes of acute cardiorenal syndrome type-5 in sepsis: An eight-year cohort study. PLoS ONE 2018, 13, e0190965. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Ahmad, T.; Jackson, K.; Rao, V.S.; Tang, W.H.W.; Brisco-Bacik, M.A.; Chen, H.H.; Felker, G.M.; Hernandez, A.F.; O’Connor, C.M.; Sabbisetti, V.S.; et al. Worsening renal function in patients with acute heart failure undergoing aggressive diuresis is not associated with tubular injury. Circulation 2018, 137, 2016–2028. [Google Scholar] [CrossRef] [PubMed]
Jcm 09 03702 g001 550
Figure 1. Trends in the use of coronary angiography, PCI, MCS and IHDM, use in AMI-CS admissions stratified by CKD status. Legend: 17 year trends in the use of coronary angiography (A), PCI (B), MCS (C) and IHDM (D) in admissions stratified by CKD status; all p < 0.001 for trend over time. Abbreviations: AMI: acute myocardial infarction; CKD: chronic kidney disease; CS: cardiogenic shock; ESRD: end-stage renal disease; IHDM: invasive hemodynamic monitoring; MCS: mechanical circulatory support; PCI: percutaneous coronary intervention
Figure 1. Trends in the use of coronary angiography, PCI, MCS and IHDM, use in AMI-CS admissions stratified by CKD status. Legend: 17 year trends in the use of coronary angiography (A), PCI (B), MCS (C) and IHDM (D) in admissions stratified by CKD status; all p < 0.001 for trend over time. Abbreviations: AMI: acute myocardial infarction; CKD: chronic kidney disease; CS: cardiogenic shock; ESRD: end-stage renal disease; IHDM: invasive hemodynamic monitoring; MCS: mechanical circulatory support; PCI: percutaneous coronary intervention
Jcm 09 03702 g001
Jcm 09 03702 g002 550
Figure 2. Clinical outcomes in AMI-CS admissions stratified by CKD status. Legend: 17 year unadjusted trends in the prevalence of AKI (A) acute hemodialysis; (B) use and in-hospital mortality; (C) in admissions stratified by CKD status—all p < 0.001 for trend over time; (D) adjusted multivariate logistic regression for in-hospital mortality temporal trends with 2005 as referent year; adjusted for age, sex, race, comorbidity, primary payer, socioeconomic stratum, hospital characteristics, comorbidities, AMI type, acute organ failure, cardiac arrest, cardiac and noncardiac procedures (p < 0.001 for trend over time). Abbreviations: AKI: acute kidney injury; AMI: acute myocardial infarction; CKD: chronic kidney disease; CS: cardiogenic shock; ESRD: end-stage renal disease.
Figure 2. Clinical outcomes in AMI-CS admissions stratified by CKD status. Legend: 17 year unadjusted trends in the prevalence of AKI (A) acute hemodialysis; (B) use and in-hospital mortality; (C) in admissions stratified by CKD status—all p < 0.001 for trend over time; (D) adjusted multivariate logistic regression for in-hospital mortality temporal trends with 2005 as referent year; adjusted for age, sex, race, comorbidity, primary payer, socioeconomic stratum, hospital characteristics, comorbidities, AMI type, acute organ failure, cardiac arrest, cardiac and noncardiac procedures (p < 0.001 for trend over time). Abbreviations: AKI: acute kidney injury; AMI: acute myocardial infarction; CKD: chronic kidney disease; CS: cardiogenic shock; ESRD: end-stage renal disease.
Jcm 09 03702 g002
Table
Table 1. Baseline and clinical characteristics of AMI-CS stratified by CKD stage.
Table 1. Baseline and clinical characteristics of AMI-CS stratified by CKD stage.
CharacteristicNo CKD
(N = 326,556)		CKD-III
(N = 20,380)		CKD-IV
(N = 7,367)		ESRD
(N = 18,109)		p
Age (years)68.1 ± 13.273.8 ± 11.376.1 ± 10.768.5 ± 11.5<0.001
Female sex37.235.340.839.3<0.001
RaceWhite66.568.967.049.4<0.001
Non-White a33.531.133.050.6
Primary payerMedicare57.376.080.378.9<0.001
Medicaid7.65.54.35.9
Private25.513.811.512.1
Others b9.54.73.93.1
Quartile of median household income for zip code0–25th27.528.226.831.4<0.001
26th–50th26.827.228.225.2
51st–75th24.524.824.022.9
75th–100th21.219.920.920.5
Hospital teaching status and locationRural6.26.46.53.9<0.001
Urban non-teaching37.132.833.432.5
Urban teaching56.760.860.163.6
Hospital bed-sizeSmall8.510.410.99.1<0.001
Medium23.325.126.022.8
Large68.264.463.168.1
Hospital regionNortheast17.814.416.117.4<0.001
Midwest22.826.723.918.6
South38.636.938.140.2
West20.822.121.923.8
Charlson Comorbidity Index0–328.20.80.93.9<0.001
4–653.324.820.239.9
≥718.474.478.956.2
AMI typeSTEMI-CS66.942.738.737.2<0.001
NSTEMI-CS33.157.361.362.8
Acute organ failureRespiratory48.153.754.152.8<0.001
Hepatic10.711.912.212.1<0.001
Hematologic12.616.914.617.7<0.001
Neurologic16.716.217.220.7<0.001
Out of hospital cardiac arrest27.820.318.125.4<0.001
Coronary angiography72.767.156.961.1<0.001
Percutaneous coronary intervention53.743.838.437.6<0.001
Coronary artery bypass grafting17.718.612.416.6<0.001
Right heart/pulmonary artery catheterization17.017.916.615.6<0.001
Mechanical circulatory supportTotal47.938.333.334.2<0.001
IABP45.435.131.130.8<0.001
pLVAD2.94.02.63.7<0.001
ECMO1.01.00.60.90.02
Invasive mechanical ventilation43.642.643.748.4<0.001
Noninvasive mechanical ventilation3.87.88.45.5<0.001
Legend: Represented as percentage or mean ± standard deviation; a Black, Hispanic, Asian, Native American, others; b Uninsured, no charge, others. Abbreviations: AMI: acute myocardial infarction; CKD: chronic kidney disease; CS: cardiogenic shock; ECMO: extracorporeal membrane oxygenation; ESRD: end-stage renal disease; IABP: intra-aortic balloon pump; NSTEMI: non-ST-segment elevation myocardial infarction; pLVAD: percutaneous left ventricular assist device; STEMI: ST-segment elevation myocardial infarction.
Table
Table 2. Clinical outcomes of AMI-CS stratified by CKD stage.
Table 2. Clinical outcomes of AMI-CS stratified by CKD stage.
OutcomeNo CKD
(N = 326,556)		CKD-III
(N = 20,380)		CKD-IV
(N = 7367)		ESRD
(N = 18,109)		p
Acute kidney injury38.579.184.3---<0.001
Acute hemodialysis2.66.512.3---<0.001
In-hospital mortality34.430.939.043.2<0.001
Length of stay (days)9.6 ± 11.010.8 ± 9.910.4 ± 9.613.6 ± 17.9<0.001
Hospitalization costs (x1000 USD)152 ± 177184 ± 206160 ± 186216 ± 305<0.001
Discharge dispositionHome43.626.220.724.0<0.001
Transferred10.89.59.610.3
Skilled nursing facility28.243.047.048.1
Home with HHC16.920.922.417.5
Against medical advice0.50.40.30.2
Legend: Represented as percentage or mean ± standard deviation. Abbreviations: AMI: acute myocardial infarction; CKD: chronic kidney disease; CS: cardiogenic shock; ESRD: end-stage renal disease; HHC: home health care; USD: United States dollars.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Vallabhajosyula, S.; Ya’Qoub, L.; Kumar, V.; Verghese, D.; Subramaniam, A.V.; Patlolla, S.H.; Desai, V.K.; Sundaragiri, P.R.; Cheungpasitporn, W.; Deshmukh, A.J.; et al. Contemporary National Outcomes of Acute Myocardial Infarction-Cardiogenic Shock in Patients with Prior Chronic Kidney Disease and End-Stage Renal Disease. J. Clin. Med. 2020, 9, 3702. https://doi.org/10.3390/jcm9113702

AMA Style

Vallabhajosyula S, Ya’Qoub L, Kumar V, Verghese D, Subramaniam AV, Patlolla SH, Desai VK, Sundaragiri PR, Cheungpasitporn W, Deshmukh AJ, et al. Contemporary National Outcomes of Acute Myocardial Infarction-Cardiogenic Shock in Patients with Prior Chronic Kidney Disease and End-Stage Renal Disease. Journal of Clinical Medicine. 2020; 9(11):3702. https://doi.org/10.3390/jcm9113702

Chicago/Turabian Style

Vallabhajosyula, Saraschandra, Lina Ya’Qoub, Vinayak Kumar, Dhiran Verghese, Anna V. Subramaniam, Sri Harsha Patlolla, Viral K. Desai, Pranathi R. Sundaragiri, Wisit Cheungpasitporn, Abhishek J. Deshmukh, and et al. 2020. "Contemporary National Outcomes of Acute Myocardial Infarction-Cardiogenic Shock in Patients with Prior Chronic Kidney Disease and End-Stage Renal Disease" Journal of Clinical Medicine 9, no. 11: 3702. https://doi.org/10.3390/jcm9113702

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop