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Revista colombiana de Gastroenterología

Print version ISSN 0120-9957On-line version ISSN 2500-7440

Rev. colomb. Gastroenterol. vol.37 no.4 Bogotá Oct./Dec. 2022  Epub July 07, 2023

https://doi.org/10.22516/25007440.923 

Original article

Cardiac hemodynamic variables and post-liver transplant outcomes in a transplant referral center in Colombia at 2,600 meters above sea level

Carlos Mauricio Martínez-Montalvo1  * 
http://orcid.org/0000-0003-3136-4395

Laura Catalina Gutiérrez2 
http://orcid.org/0000-0001-8769-5535

Daniel Valery Rojas3 
http://orcid.org/0000-0002-3040-5223

Sandra Valentina Saummet4 
http://orcid.org/0000-0001-8494-0320

Camila Sofía Galindo-Escucha4 
http://orcid.org/0000-0002-4182-3957

Rafael Conde-Camacho5 
http://orcid.org/0000-0002-8367-3037

Adriana Varón6 
http://orcid.org/0000-0002-8294-2194

1Internist, Hospital Universitario Mayor Mederi, Gastroenterology fellow, Universidad Nacional. Bogotá, Colombia.

2Internist, Hospital Universitario Mayor Mederi. Bogotá, Colombia.

3Internist, Gastroenterology fellow, Universidad del Rosario. Bogotá, Colombia.

4General physician, Universidad del Rosario. Bogotá, Colombia.

5Pneumologist, Fundación Neumológica Colombiana. Bogotá, Colombia.

6Hepatologist, LaCardio. Bogotá, Colombia.


Abstract

Introduction:

Hemodynamic assessment by Doppler echocardiography is essential in identifying systolic/diastolic changes as a predictor of outcomes in post-liver transplantation, from cardiovascular changes to graft dysfunction and mortality.

Materials and methods:

Retrospective cohort study. Patient with a liver transplant at the LaCardio hospital in Bogotá, Colombia, between January 2005 and July 2021. Analysis of sociodemographic variables, comorbidities, echocardiography, and intraoperative variables with primary outcomes such as early graft dysfunction, acute kidney injury (AKI), and mortality during follow-up. A classification and regression tree (CART) was performed.

Results:

397 patients were analyzed; 54.4% were men, 71% had some degree of diastolic dysfunction and left ventricular hypertrophy (30.9%) with graft dysfunction in 8% and AKI in 21%, and a mortality of 15% during the study follow-up. In the CART model, mortality and graft dysfunction outcomes were related to a body mass index (BMI) < 19 or a combination of BMI between 19 and < 24 with dialysis.

Conclusion:

Echocardiographic variables, sarcopenia, AKI, or the requirement for renal replacement therapy are related to mortality and graft dysfunction outcomes.

Keywords: Liver transplantation; liver cirrhosis; ventricular dysfunction

Resumen

Introducción:

la valoración hemodinámica mediante ecocardiografía Doppler tiene importancia en la identificación de alteraciones sistólicas/diastólicas como predictor de desenlaces en el postrasplante hepático desde alteraciones cardiovasculares hasta disfunción del injerto y mortalidad.

Métodos:

estudio de cohorte retrospectivo. Paciente con trasplante hepático en el hospital LaCardio, en Bogotá, Colombia entre enero de 2005 y julio de 2021. Análisis de variables sociodemográficas, comorbilidades, ecocardiografía y variables intraoperatorias con desenlaces primarios como disfunción temprana del injerto, lesión renal aguda (LRA) y mortalidad durante el seguimiento. Se realizó un árbol de clasificación y regresión (CART).

Resultados:

se analizaron a 397 pacientes, el 54,4% eran hombres, y el 71% tenía algún grado de disfunción diastólica, hipertrofia ventricular izquierda (30,9%) con presencia de disfunción del injerto en el 8% y LRA en el 21%, y una mortalidad del 15% durante el seguimiento del estudio. En el modelo CART para desenlaces de mortalidad y disfunción del injerto se relacionó con la presencia de índice de masa corporal (IMC) < 19 o la combinación de IMC entre 19 y < 24 con diálisis.

Conclusión:

las variables ecocardiográficas, la sarcopenia y la LRA o requerimiento de terapia de reemplazo renal se relacionan con desenlaces de mortalidad y disfunción del injerto.

Palabras clave: Trasplante de hígado; cirrosis hepática; disfunción ventricular

Introduction

Liver transplantation is a life-saving therapy in patients with end-stage liver disease. Multiple risk factors have been identified, and despite advances in immunosuppressive therapy and surgical techniques to improve post-liver transplant outcomes, graft rejection occurs between 23% and 64%1,2. It is imperative to understand the predictive factors related to adverse graft outcomes. Thus, identifying cardiovascular conditions without intervention before transplantation defines short- and long-term morbidity and mortality outcomes with the graft3,4. Post-transplant hemodynamic stress after reperfusion of the graft characterized by increased preload may result in multiple cardiovascular complications. The pre-transplant study protocol includes screening for traditional cardiovascular risk factors, coronary disease, and Doppler echocardiography analysis in the search for right or left ventricular dysfunction, portopulmonary hypertension, hepatopulmonary syndrome, and cirrhotic cardiomyopathy5,6.

Cirrhotic cardiomyopathy is an entity with no diagnostic criteria yet established. However, the best-accepted definition is that of the Cirrhotic Cardiomyopathy Consortium (2019), made up of variables such as systolic/diastolic alterations, supported by the assessment of global longitudinal shortening (GLS) and electrocardiographic changes such as QT prolongation7,8. This syndrome, which is usually not recognized in the initial phase, but rather in its decompensation, has gained importance in recent years as a predictor of outcomes such as heart failure, kidney injury, and even graft loss in the short and long term3,9-11. Data on cardiovascular complications and deaths from heart failure are found in up to 70% after transplantation12.

The discrepancy in some data, the insufficient evaluation of systolic/diastolic function parameters, incomplete data on the degree of diastolic dysfunction, imprecise determination of cardiac dysfunction in the final stage of cirrhosis with a physiological basis of a hyperdynamic state with high cardiac output, and non-adherence to echocardiographic assessment protocols limit the presentation of data in the literature9,11,13.

Due to the importance of hemodynamic assessment by echocardiography in its correlation with post-transplant outcomes such as heart failure, graft dysfunction, and mortality, for which no specific data can be found in the literature in our setting, we describe the experience of a leading Colombian hospital in liver transplantation.

Materials and methods

Study population and data collection

Retrospective cohort study. Data were obtained from the medical records of the liver transplantation group at the La Cardio hospital in Bogotá, Colombia, from January 1, 2005, to July 31, 2021.

Demographic data, paraclinical examinations, history, and conditions related to the surgical procedure were taken from each patient’s medical record.

Inclusion criteria

Patients older than 18 diagnosed with cirrhosis and stable disease undergoing liver transplantation.

Exclusion criteria

  • Patients with acute liver failure without cirrhosis requiring transplantation

  • Patients with retransplantation, transplantation of more than one organ, previous heart disease (ischemic or valvular)

  • Glomerular filtration rate (GFR) < 30 mL/min/1.73 (calculated using the Chronic Kidney Disease Epidemiology Collaboration [CKD-EPI]).

Within the institutional pre-transplant assessment protocol, data were taken from Doppler echocardiograms based on the diastolic ventricular assessment protocol of the American Society of Echocardiography/European Association of Cardiovascular Imaging (ASE/EACVI) guidelines14. Patients who underwent right heart catheterization were analyzed.

Outcomes

Our primary outcome was early graft dysfunction, defined as an abnormal liver profile in the first seven days post-transplant, as follows: bilirubin >10 mg/dL, international normalized ratio (INR) > 1.5, and alanine aminotransferase (ALT) or aspartate aminotransferase (AST) > 2,000 IU.

Another primary outcome was acute kidney injury during post-transplant hospitalization based on the Kidney Disease: Improving Global Outcome (KDIGO) guideline definition.

Mortality was assessed from liver transplantation to the study completion date, July 31, 2021.

Other outcomes were considered, such as the requirement for renal replacement therapy during the post-transplant period, infectious complications, transfusion support, and intraoperative arrest.

Statistical analysis

The sociodemographic and clinical characteristics are presented in frequencies and percentages for the categorical variables. For continuous variables, we employed the mean with standard deviation (SD) when the distribution was normal or the median with interquartile range (IQR) when this criterion was not met. The chi-square test or Fisher’s test was performed to evaluate these comparisons according to the frequency of observations in the case of categorical variables. Student’s t-test for independent samples was used to compare continuous variables. A p-value < 0.05 was considered statistically significant.

We set up a classification and regression tree (CART) with all the variables collected for comparison purposes15. The covariates selection for the model was based on biological and clinical relevance, as previously reported in the literature, and their statistical significance in the bivariate analysis. The CART algorithm quantified the weight of each variable and built risk profiles. This methodology contrasts with classical regression models in which the CART algorithm can uncover modifier effects and complex interactions between variables. Statistical analysis was performed with R software version 3.6.3, and the CART model with the RPART (Recursive Partition and Regression Trees) package.

Results

Within the established date, the study found 550 patients with liver transplantation, of which 397 had complete data and met the inclusion and exclusion criteria.

General characteristics

Of the total number of patients, the median age was 56 years at the time of liver transplantation, and 54.4% were men. At the time of the transplant, 75% had a functional class I, and the most frequent history includes arterial hypertension (15.8%), diabetes mellitus (24.1%), and smoking (25.44%). A Charlson index with a mean of 4.4 (SD ± 1.5) was calculated.

According to the etiology of cirrhosis, the main one was alcoholic (17.8%), followed by cryptogenic (16%), hepatitis C virus (HCV) (15.3%), and autoimmune hepatitis (12.5%).

At the time of liver transplantation, complications due to the pathology produced at least one ascitic episode or more (63%), encephalopathy (47%), variceal bleeding (34.2%), hepatocellular carcinoma (22.1%), hepatopulmonary syndrome (15.6%) and spontaneous bacterial peritonitis (8.3%). Regarding the staging of the pathology, 52.3% were in Child-Pugh B and 26% in Child-Pugh C, with an average Model for End-Stage Liver Disease (MELD-Na) of 16 (SD ± 6) (Table 1).

Hemodynamic variables: echocardiography and right heart catheterization

Of the 397 patients analyzed, all were evaluated by 2D Doppler echocardiography. We found an average LVEF of 62% (SD ± 6.4), 71% with diastolic dysfunction, but only 45 patients had type 1 diastolic dysfunction, and seven had type 2 diastolic dysfunction; left ventricular hypertrophy (30.9%), and presence of shunt compatible with hepatopulmonary syndrome (19%). Right heart catheterization was only performed in seven patients (Table 1).

Table 1 Characteristics of the study population 

Patients, n 397
Age, years (median, IQR) 56 (45-62)
Sex (male:female), n 216:181
BMI, kg/m2 (mean, SD) 25.7 ± 4.2
Functional class, n (%)
- Class 1 298 (75)
- Class 2 90 (22.6)
- Class 3 8 (2)
- Class 4 1 (0.2)
Etiology of cirrhosis, n (%)
- Alcoholic 71 (17.8)
- Cryptogenic 64 (16)
- HCV 61 (15.3)
- Autoimmune hepatitis 50 (12.5)
- NASH 42 (10.5)
- Primary biliary cirrhosis 39 (9.8)
- Secondary biliary cirrhosis 13 (3.2)
- HBV 13 (3.2)
- Other 44 (11)
History, n (%)
- Hypertension 63 (15.8)
- Diabetes mellitus 96 (24.1)
- COPD 2 (0.5)
- Pulmonary hypertension 3 (0.7)
- SLE 4 (1)
- CKD 30 (7.5)
- Smoking 101 (25.44)
Complications of cirrhosis, n (%)
- Ascites 250 (63)
- Variceal bleeding 136 (34.2)
- SBP 33 (8.3)
- Hepatopulmonary syndrome 62 (15.6)
- Encephalopathy 187 (47)
- Pruritus 19 (4.7)
- Hepatocellular carcinoma 88 (22.1)
Child-Pugh score, n (%)
- Class A 86 (21.6)
- Class B 208 (52.3)
- Class C 103 (26)
- MELD-NA (mean, SD) 16 ± 6
Charlson index (mean, SD) 4.4 ± 1.5
Echocardiographic variables
- LVEF (mean, SD) 62 ± 6.4
- TAPSE, n (mean, SD) 22 (25 ± 4.3)
- DD, n (%) 71 (17.8)
- Grade 1 DD, n (%) 45 (11.33)
- Grade 2 DD, n (%) 7 (1.7)
- Abnormal PASP, n (%) 88 (22.2)
- Increased DBP, n (%) 4 (1)
- LVH, n (%) 130 (30.9)
- RVH, n (%) 4 (1)
- Right ventricular dilatation, n (%) 12 (3)
- Presence of shunt, n (%) 79 (19)
Right catheterization variables (mean, SD) n: 7
- mPAP 27.2 ± 9.5
- PVR 3.2 ± 3
- Wedge pressure 15.83 ± 5.3
- Cardiac index 4.3 ± 2.4
- Right atrium pressure 15.83 ± 5
Intraoperative variables
- Anhepatic phase (median, IQR) 57 (47-69)
- Ischemic phase (median, IQR) 6.3 (5.7-8.2)
- Intraoperative cardiac arrest, n (%) 10(2.5)
- Days in ICU, median (IQR) 2 (2-4)
- Transfusion requirement, n (%) 244 (61.6)
Outcomes, n (%)
Graft dysfunction, n (%) 32 (8)
AKI, n (%) 84 (21)
- KDIGO 1 AKI (%) 37.9
- KDIGO 2 AKI (%) 32.1
- KDIGO 3 AKI (%) 29.88
Dialysis requirement, n (%) 29 (7.3)
Infection, n (%) 116 (29.2)
- Abdominal 49 (39.6)
- Pulmonary 25 (21.5)
- Urinary 21 (18.1)
Bacteremia 6 (5.1)
Operative site 5 (4.3)
Other 10 (8.6)
Death, n (%) 60 (15.1)

DD: diastolic dysfunction; COPD: chronic obstructive pulmonary disease; CKD: chronic kidney disease; LVEF: left ventricular ejection fraction; RVH: right ventricular hypertrophy; LVH: left ventricular hypertrophy; BMI: body mass index; SLE: systemic lupus erythematosus; AKI: acute kidney injury; NASH: nonalcoholic steatohepatitis; DBP: diastolic blood pressure; SBP: spontaneous bacterial peritonitis; mPAP: mean pulmonary artery pressure; PASP: pulmonary artery systolic pressure; PVR: pulmonary vascular resistance; TAPSE: tricuspid annular plane systolic excursion; ICU: intensive care unit. Source: The authors.

Intraoperative and post-transplant variables

The anhepatic phase had a median of 57 minutes (IQR: 47-69), and the ischemic phase was 6.3 minutes (IQR: 5.7-8.2). Regarding the intraoperative complications, ten patients had a cardiorespiratory arrest, and 61.6% required transfusion support. The stay in the ICU was an average of two days. Only 32 patients presented with early graft dysfunction (8%); 21% presented acute kidney injury, and 29 required renal replacement therapy. Moreover, 29.2% exhibited infectious complications; the main ones were abdominal (39.6%) and pulmonary (21.5%). During the study period, there was a mortality of 15.1%.

Primary outcomes

The primary outcomes are summarized in Table 2.

Table 2 Univariate Cox analysis of primary outcomes 

Variables Graft dysfunction Kidney injury Death
No GD GD p No Yes p No Yes p
Age (median, IQR) 56 (45-62) 52.5 (38.7-58.2) 0.03405083 55 (44-61) 58 (48.7-63) 0.0626625 56 (45-62) 58 (49-63) 0.19050336
Woman, n (%) 158 (87.8) 22 (21.1) 0.01052545 151 (83.4) 30(16.5) 0.05438623 149 (82.3) 32 (17.6) 0.24357336
Man, n (%) 206 (95.3) 10 (4.6) 162 (75) 54 (25) 188 (87) 28 (12.9)
BMI (mean, SD) 25.8 ± 4.1 24.6 ± 4.9 0.11739833 25.5 ± 4 26.7 ± 4.6 0.04914905 26 ± 4.25 24.4 ± 3.9 0.01242746
FC I 276 (92.6) 22 (7.3) 0.55109023 234 (78.5) 64 (21.4) 0.24305443 251 (84.2) 47 (15.7) 0.09592338
FC II 80 (88.8) 10 (11.1) 72 (80) 18 (20) 79 (87.7) 11 (12.2)
FC III 8 (100) 0 7 (87.5) 1 (12.5) 7 (87.5) 1 (12.5)
FC IV 1 (100) 0 0 1 0 1
Charlson index (mean, SD) 4.47 ± 1.55 4.06 ± 1.1 0.16534394 4.32 ± 1.5 4.7 ± 1.5 0.0372914 4.3 ± 1.5 4.7 ± 1.6 0.15445272
Etiology of cirrhosis, n (%)
Alcoholic 69 (97.1) 2 (2.8) 0.13026919 55 (77.4) 16 (22.5) 0.9251709 63 (88.7) 8 (11.2) 0.67038578
Cryptogenic 60 (93.7) 4 (6.2) 53 (82.8) 11 (17.1) 56 (87.5) 8 (12.5)
HCV 57 (93.4) 4 (6.5) 44 (72.1) 17 (27.8) 47 (77) 14 (22.9)
Autoimmune hepatitis 47 (94) 3 (6) 40 (80) 10 (20) 43 (86) 7 (14)
NASH 39 (92.8) 3 (7.1) 31 (73.8) 11 (26.1) 37 (88) 5 (12)
PBC 33 (84.6) 6 (15.3) 33 (84.6) 6 (15.3) 31 (79.4) 8 (20.5)
SBC 11 (84.6) 2 (15.3) 11 (84.6) 2 (15.3) 9 (69.2) 4 (30.7)
HBV 12 (92.3) 1 (7.6) 10 (76.9) 3 (23) 12 (92.3) 1 (7.6)
History, n (%)
Hypertension 60 (95.2) 3 (4.7) 0.42588466 48 (76.1) 15 (23.8) 0.69396299 56 (88.8) 7 (11.1) 0.43822945
Diabetes mellitus 91 (94.7) 5 (5.2) 0.33522914 72 (75) 24 (25) 0.360296 82 (85.4) 14 (14.5) 0.99769806
COPD 2 (100) 0 1 1 1 0.89392224 2 0 1
PH 3 (100) 0 1 3 0 0.8483549 3 0 1
SLE 4 (100) 0 1 2 2 0.4212489 3 1 1
CKD 14 (100) 0 1 10 (71.4) 4 (28.5) 0.72013665 12 (85.7) 2 (14.2) 1
Smoking 97 (96) 4 (3.9) 0.12324534 78 (77.2) 23 (22.7) 0.74992213 88 (87.1) 13 (12.8) 0.57024989
Complications of cirrhosis, n (%)
Ascites 233 (93.2) 17 (6.8) 0.3114414 194 (77.6) 56 (22.4) 0.507671 215 (86) 35 (14) 0.50759422
Variceal bleeding 124 (91.1) 12 (8.8) 0.83450994 110 (80.8) 26 (19.2) 0.55567329 120 (88.2) 16 (11.7) 0.23129388
SBP 31 (93.9) 2 (6) 0.91493425 25 (75.7) 8 (24.2) 0.81777885 30 (90.9) 3 (9) 0.45028031
Hepatopulmonary syndrome 58 (93.5) 4 (6.4) 0.80053717 54 (87) 8 (12.9) 0.11797885 56 (90.3) 6 (9.6) 0.26790479
Encephalopathy 169 (90.3) 18 (9.6) 0.3700466 139 (74.3) 48 (25.3) 0.05082367 160 (85.5) 27 (14.4) 0.83062933
Pruritus 16 (84.2) 3 (15) 0.40289368 19 0 1 16 (84.2) 3 (15.7) 1
Hepatocellular carcinoma 84 (95.4) 4 (4.5) 0.24972757 67 (76.1) 21 (23.8) 0.57802013 68 (77.2) 20 (22.7) 0.03647202
Child-Pugh score, n (%)
Class A 79 (91.8) 7 (8.1) 0.48422153 65 (75.5) 21 (24.4) 0.66648793 71 (82.5) 15 (17.4) 0.64598336
Class B 194 (93.2) 14 (6.7) 167 (80.2) 41 (19.7) 176 (84.6) 32 (15.3)
Class C 92 (89.3) 11 (10.6) 81 (78.6) 22 (21.3) 90 (87.3) 13 (12.6)
MELD-NA (mean, SD) 15.9 ± 6.8 17.4± 7.7 0.28508139 15.8 ± 6.4 16.6 ± 8.5 0.89719791 16 ± 7 15.9 ± 8.2 0.50753706
Echocardiographic variables
LVEF (mean, SD) 62.39 ± 6.5 61.2 ± 5.4 0.92794776 61.7 ± 6.5 64.4 ± 5.8 0.00059796 62 ± 6.3 64.1 ± 6.9 0.03786134
TAPSE, n (mean, SD) 25.5 (4.4) 25.3 0.93718292       25.3 30.1 0.18031438
Diastolic dysfunction, n (%) 65 (91.4) 6 (8.4) 1 49 (69) 22 (30.9) 0.03780355 57 (80.2) 14 (19.7) 0.3112245
PASP 80 (90.9) 8 (9) 0.86944739 68 (77.2) 20 (22.7) 0.81631308 68 (77.2) 20 (22.7) 0.03881794
Increased DBP, n (%) 3 (75) 1 (25) 0.74304706 4 0 0.67000042 3 1 1
LVH, n (%) 110 (89.4) 13 (10.5) 0.30260062 83 (67.4) 40 (32.5) 0.00034267 98 (79.6) 25 (20.3) 0.07329209
RVH, n (%) 4 (100) 0 1 3 1 1 3 1 1
RV dilation, n (%) 12 (100) 0 0.60608871 10 (83.3) 2 (16.6) 0.97293598 12 0 0.2751521
Presence of shunt, n (%) 71 (89.8) 8 (10.1) 0.60107922 60 (75.9) 19 (24.05) 0.58281122 66 (83.5) 13 (16.4) 0.84406117
Intraoperative variables
Anhepatic phase (median, IQR) 57 (47-68) 60 (50-77) 0.16471272 56 (46-66) 60 (51 -75) 0.01654853 57 (47-68) 56 (50-73) 0.60601576
Ischemic phase (median, IQR) 6.3 (5.1-8.1) 6.4 (5.3-9) 0.54891242 6.3 (5.2-8.3) 6.1 (5-7.5) 0.3038509 6.2 (5-8) 6.9 (5.4-9) 0.05746276
Transfusion requirement, n (%) 219 (89.7) 25 (10.2) 0.03781268 189 (77) 55 (26) 0.48819885 205 (84) 39 (15.9) 0.53335917
AKI, n (%) 71 (84.5) 13 (15.4) 0.00970643 12 (41.3) 17 (58.6) 56 (66.6) 28 (33.3) 3.79E-07
Dialysis requirement, n (%) 21 (72.4) 8 (27.5) 0.00027098 7.9935E-11
Infection, n (%) 104 (89.6) 12 (10.3) 0.38345075 78 (67.2) 38 (32.7) 0.00046397 87 (75) 29 (25) 0.00072601

PBC: primary biliary cholangitis; SBC: secondary biliary cholangitis; FC: functional class; GD: graft dysfunction; PH: pulmonary hypertension; HBV: hepatitis B virus. Source: The authors.

Early graft dysfunction

Within the univariate Cox analysis, a relationship was found with the female sex (p = 0.010), transfusion support requirement (p = 0.037), acute kidney injury (p = 0.0097), and renal replacement therapy requirement (p = 0.0002).

Acute kidney injury

It was related to the male sex (p = 0.054), BMI (p = 0.049), Charlson index (p = 0.0372), episodes of encephalopathy before transplantation (p = 0.0508), LVEF (p = 0.00059), diastolic dysfunction (p = 0.037), LVH (p = 0.00034), anhepatic phase (p = 0.016), and infection (p = 0.0004).

Mortality

It was associated with hepatocellular carcinoma (p = 0.036), acute kidney injury (p < 0.005), renal replacement therapy (p < 0.005), and infection (p < 0.005).

CART predictive model

This method built a predictive model with mortality during the study, graft dysfunction, and acute kidney injury variables. The mortality during the study model found a mortality of 15%, in which patients with BMI < 19 had a 56% probability of dying. Meanwhile, with a BMI > 19 (98% of patients with fatal outcomes), patients who do not require dialysis have a 95% chance of survival. However, patients with a BMI > 19 and < 24 and requiring dialysis have a 55% chance of dying (Figure 1).

Figure 1 Distribution of transplant patients with mortality during the study, classified by risk groups in the regression tree (CART). This method builds a predictive model of three risk profiles with BMI < 19 and < 24, with or without dialysis requirement. Source: The authors. 

Concerning graft dysfunction, they were 8% of all patients. Patients with BMI < 19 had a 56% chance of graft dysfunction, and those with BMI > 19 and < 24 requiring dialysis had a 55% chance of death (Figure 2).

Figure 2 Distribution of transplant patients with graft dysfunction, classified by risk groups in the regression tree (CART). This method builds a predictive model of three risk profiles with BMI < 19 and < 24, with or without dialysis requirement. Source: The authors. 

Discussion

Globally, in 2017, approximately 1.5 million people had liver cirrhosis, whose main etiologies were NASH (60%), HBV (29%), HCV (9%), and alcoholic cirrhosis (2%); it produced 1.2 million deaths and was 3.5% of all causes of death16. In data from local studies, it gains importance as an etiology of alcoholic cirrhosis, as shown in our study17. There are multiple risk factors in the pre-transplant study, and even its poor selection is related to a cost burden for the healthcare system18. Pretransplant detection of cardiac dysfunction is a predictor of adverse events after liver transplantation, based on analysis of systolic or diastolic abnormalities9,11,19. Cardiac dysfunction leads to early mortality from cardiovascular causes (40%), followed by other causes of mortality, such as infections (27.2%) and graft rejection (12%)20. Even data have shown liver transplantation as a treatment for cardiovascular disorders, as reported by a study in which a decrease in biventricular dilatation and improvement in global strain post-transplantation were observed21.

Regarding the findings in our study, no relationship was identified between LVEF and mortality during follow-up. The data are similar to the literature, in which no relationship was found with the mortality or post-transplant cardiac arrest outcomes9. However, in another study, a low LVEF is related to mortality22; even in the hyperdynamic state, it correlates with high LVEF, whose minimal variations are related to cardiovascular outcomes10,22. Therefore, in assessing a patient with a hyperdynamic state associated with decreased peripheral vascular resistance, not only the evaluation of the systolic component becomes vital for diagnosing cirrhotic cardiomyopathy. An integration of variables such as those stipulated in the last CCC classification, with findings of LVEF < 50% and decrease in GLS > 18%, is also relevant, with careful assessment of the diastolic component considering the multiple variables that can affect preload based on electromechanical abnormalities such as QT prolongation8.

Due to the complex assessment of cardiac dysfunction, there is no protocolized evaluation of this specific condition by echocardiography without following the latest recommendations for diagnosing cirrhotic cardiomyopathy. According to our study, there is no detail of the diastolic evaluation without the GLS and electromechanical component measurements. In the literature, systolic involvement is low, as shown in our study, where 100% of patients did not meet the criteria for systolic changes22. Some studies even reveal an incidence of only 2% of systolic involvement13.

Although the CCC’s latest classification of cirrhotic cardiomyopathy has an LVEF cut-off < 55%, data of LVEF < 60% in patients undergoing immunosuppression should have a closer follow-up, as it is a predictor of mortality and cardiovascular outcomes23.

Among the findings of our study is that 17.8% presented with diastolic dysfunction, which does not agree with the literature since it shows a varied prevalence, possibly secondary to the non-standardization of echocardiographic variables. Reports in the literature have demonstrated that up to 66% of patients with end-stage liver disease have, according to the ASE classification, type 1 (53%) and type 2 (47%) diastolic dysfunction, with no type 3 patients22, as found in our study (no findings of type 3 patients). Another study shows a prevalence similar to ours with data of diastolic dysfunction of 19%: mild (48%), moderate (30%), and severe (22%), and the findings of pre-transplant diastolic dysfunction were related to the risk of graft rejection, graft failure, and mortality3. Nevertheless, in our study, the finding of diastolic dysfunction was related to the development of acute kidney injury (p = 0.0378).

Additional echocardiographic variables, such as left atrial volume index (LAVI) > 40 mL/m2, were associated with the risk of mortality within one year post-transplant9. The rate of moderate to severe tricuspid regurgitation is related to mortality since mild findings are expected in the patient’s hyperdynamic state24; our study’s data were not measured because they were found to be normal. Other findings are LVH, which occurs in 12% to 30% of patients with cirrhosis, an indication of possible diastolic dysfunction in the context of left ventricular remodeling in the patient’s hyperdynamic state; in our study, it was found in 30.9% of patients, with no relationship with mortality outcomes or graft dysfunction. These data differ from those in the literature, in which LVH was associated with mortality nine months after transplantation; it was more frequent in the elderly and patients with a history of arterial hypertension25. Even its presence before transplantation has been observed as a predictor of post-transplant echocardiographic deterioration26. However, the relationship between LVH and diastolic dysfunction was related to acute kidney injury, as shown by studies related to a low cardiac index in severe arterial vasodilation changes22,27,28; some data even show a correlation between a high LVEF and the deteriorating renal function possibly secondary to this hyperdynamic state29. Progressing to the requirement of renal replacement therapy was related in our study to graft dysfunction and mortality, as found in the literature, in which its relationship with mortality was noted, with an odds ratio (OR) of 14.18 (confidence interval [CI] 1.65-121.89; p < 0.05)11.

Within our study, increased PASP was observed in 22% of the patients, which was related to mortality with p = 0.038; this finding may be related to increased left ventricular diastolic pressure and, therefore, be a marker of diastolic dysfunction. In one study, it was connected to the risk of cardiac events (hazard ratio [HR]: 1.79 [1.48-2.17]; p < 0.001)29 and has even been directly associated in some studies with pulmonary artery pressure with catheterization, allowing for adequate screening with a detailed echocardiogram30.

The transfusion requirement in the post-transplant period was related to graft dysfunction, and in the regression tree, to acute kidney injury in the initial stages and progression to dialysis. Previous studies have associated these findings with adverse post-transplant outcomes31. Another variable related to mortality and acute kidney injury was a post-transplant infection. These data are related to the literature concerning the immunosuppression state due to the pathology and the level of immunological activation to the infectious stimulus in a patient with a chronic inflammatory disease and hemodynamic dysregulation, causing mortality rates close to 50%32.

Within the CART, the critical data related to mortality and graft dysfunction are low BMI, with a cut-off < 19 in our study, even related to renal replacement therapy. These data indirectly indicate sarcopenia since they show that 30%-70% of individuals with cirrhosis suffer from this condition due to the patient’s degree of inflammation, chronic bacterial translocation, insulin resistance, hyperammonemia, and decreased testosterone. Previous data condition higher mortality (19 ± 6 months with sarcopenia vs. 34 ± 11 months without sarcopenia; p = 0.005)33,34. Even data already related to post-transplant outcomes of skeletal muscle indices measured by tomography were linked to lower post-transplant survival35.

Conclusions

Pre-transplant variables, from echocardiogram aids to previously associated conditions such as sarcopenia, considerations during liver transplantation, and the requirement or not of renal replacement therapy related to acute kidney injury are points of intervention and follow-up to reduce long-term complications and even impact the mortality of these patients.

Acknowledgments

Our deepest gratitude to the Fundación Cardioinfantil and the Universidad del Rosario.

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Citation: Martínez-Montalvo CM, Gutiérrez LC, Rojas DV, Saummet SV, Galindo-Escucha CS, Conde-Camacho R, Varón A. Cardiac hemodynamic variables and post-liver transplant outcomes in a transplant referral center in Colombia at 2,600 meters above sea level. Revista. colomb. Gastroenterol. 2022;37(4):390-401. https://doi.org/10.22516/25007440.923

Limitations Data was derived from a retrospective study of a single hospital. The echocardiographic assessment shows incomplete data on the detail of the diastolic component, without GLS measurement and tricuspid regurgitation, among others, in addition to the protocolization according to the ASE, without considering the latest evidence under the CCC classification. As a retrospective cohort to date, there is no long-term follow-up of the patients. Post-transplant cause of death, post-transplant medication, or type of immunosuppression were not included as variables possibly related to acute kidney injury. Nevertheless, in our institution, immunosuppression is mainly monitored by serum levels and guided by an expert group

Ethical considerations The study was approved by the institutional ethics committee of the Fundación Cardioinfantil-La Cardio under minutes 06-2021

Sources of funding The study was not funded

Received: June 10, 2022; Accepted: August 18, 2022

*Correspondence: Carlos Mauricio Martínez-Montalvo. carlitos220792@gmail.com

Conflicts of interest

The authors have no conflicts of interest

Author contributions

All authors were involved in work conception, data acquisition, analysis and interpretation, paper writing or critical review of important intellectual content, and final approval of the version to be published

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License