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Predicting post-surgery outcome after kidney transplantation by a comorbidity index

John Hausken

Department of Anesthesiology, Division of Emergencies and Critical Care, Oslo University Hospital, Norway

E-mail : aa

Kristian Heldal

Clinic of Internal Medicine, Telemark Hospital Trust, Skien, Norway

Institute of clinical medicine, Faculty of medicine, University of Oslo, Norway

Linda Flaa Johnsen

Department of Transplantation Medicine, Oslo University Hospital, Norway

Anna Varberg Reisæter

Department of Transplantation Medicine, Oslo University Hospital, Norway

Bjarte Fosby

Department of Transplantation Medicine, Oslo University Hospital, Norway

Pal-Dag Line

Institute of clinical medicine, Faculty of medicine, University of Oslo, Norway

Department of Transplantation Medicine, Oslo University Hospital, Norway

Hakon Haugaa

Department of Anesthesiology, Division of Emergencies and Critical Care, Oslo University Hospital, Norway

Lovisenberg Diaconal University Hospital, Norway

Kjersti Lønning

Institute of clinical medicine, Faculty of medicine, University of Oslo, Norway

Department of Transplantation Medicine, Oslo University Hospital, Norway

Karsten Midtvedt

Department of Transplantation Medicine, Oslo University Hospital, Norway

DOI: 10.15761/TiT.1000258

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Abstract

Background and aim: An easily accessible pre-transplant tool to better predict post-surgery outcome following kidney transplantation in elderly recipients is warranted. We investigated whether the Liu Comorbidity Index (LCI) may predict early admission to Intensive Care Unit (ICU) and post-operative mortality in kidney recipients ≥ 55 years of age.

Patients and methods: Data from all patients ≥ 55 years who underwent kidney transplantation at our center from 2011- 2015 were included. LCI consists of 11 comorbidity covariates creating a 21 point scale. A pre-transplant LCI was registered as the sum of the weights corresponding to the individual conditions present. Post-transplant survival data and ICU admission data were extracted from hospital records and from the Norwegian Renal Registry.

Results: 639 recipients ≥ 55 years (mean age 66.0 ± 6.5) were analysed and their mean LCI score was 2.6 (± 2.4). 98 recipients (15%) were admitted to the ICU during the early post-operative phase, and thirty-seven stayed more than 24hr. A LCI score ≥ 7 (p=0.002) and ICU stay ≥ 24 (p ≤ 0.001) hours were both independently associated with impaired patient survival. An elevated LCI score was associated with increased risk of admittance to the ICU (p=0.001)

Conclusion: An elevated pre-transplant LCI score was associated with increased risk of ICU admission and impaired survival post kidney-transplantation in middle-aged and elderly recipients.

Keywords

elderly, intensive care admittance, kidney transplantation, Liu Comorbidity Index, outcome

Introduction

Successful kidney transplantation (KTx) is the optimal treatment for patients with end-stage renal disease (ESRD) regardless of age [1-3]. KTx is considered a safe surgical intervention. Despite increased patient and graft survival caused by improvements in the perioperative management and new immunosuppression protocols, the number of kidney transplant recipients (KTR) in need of intensive care treatment after engraftment seems to increase [4]. An increasing number of elderly recipients, often with several comorbidities might explain this tendency [5]. It has been reported that life-threatening complications warranting ICU admission occur in about 5% to 10% of the kidney transplant recipients with the early post-operative phase being the most critical time-period [6]. An improved preoperative selection to limit the risk of an adverse postoperative outcome is warranted. The Charlson Comorbidity Index (CCI) was developed in 1987 for mortality analysis based on patients without renal failure admitted for medical services [7], and has often been used for assessment of comorbidities, including in kidney transplant recipients [8]. However, it still remains uncertain if the CCI conditions actually can describe the comorbidity burden for ESRD patients [9] in the 20th century. In a previous study in KTR older than 70 years we showed that a pre-operative CCI was not associated with post-transplant survival rates [10]. In line with this, McArthur, et al. recently published a large retrospective cohort study including data from 4111 Canadian kidney transplant recipients and concluded that existing comorbidity indices could not predict 1-year mortality in patients with chronic kidney disease [11]. Unfortunately, they did not evaluate the comorbidity index published by Liu, et al [9]. This index predicts survival based on a cohort from the US renal registry examining the comorbid conditions among dialysis patients. At our center we have included the Liu Comorbidity Index (LCI) as part of our routine pre-transplant work-up since 2012.

In this single center study, we explored if a pre-operative LCI score can predict post-engraftment ICU admission and survival in a cohort of KTR aging 55 years and older.

Materials and methods

All KTR age 55 year who received a kidney graft at the national transplant center between January 1st, 2011 and December 31st 2015 were included in this single center retrospective cohort study.

The pre-transplant evaluation and preoperative work-up of KTR is standardized and follows current guidelines. Cardiovascular evaluation includes a regular electrocardiography (ECG) and echocardiography (ECHO) with a physical evaluation and examination by a cardiologist. If there is a history of previous CV-disease or doubt a stress ECG/ECHO or coronary angiogram is performed prior to enlisting [12]. All transplantations were performed with uniform anaesthesia, perioperative care and surgical technique and the patients received a standardized immunosuppressive regimen [13].

Comorbidity was routinely assessed as part of the pre-transplant medical work-up and LCI was calculated as the sum of the weights corresponding to the individual conditions present (Table 1). As described by Liu in the original publication the recipients were divided into low (0-3), moderate (4-6) and elevated (≥ 7) LCI risk score [9]. The LCI was not used to assess patients eligible for transplant listing. The study was performed in accordance with the Declaration of Helsinki 2000. The clinical and research activities are consistent with the principles of the Declaration of Istanbul as outlined in the “Declaration of Istanbul on Organ Trafficking and Transplant Tourism”. All patients gave written consent. Out-come data were retrieved from the electronic patient records and from the Norwegian Renal Registry.

Table 1. Liu Comorbidity Index

Liu Comorbidity Index

Comorbid conditions

Score

Diabetes mellitus

1

Congestive heart failure

3

Coronary artery disease

1

Cerebrovascular disease

2

Peripheral vascular disease

2

Other cardiac

2

Dysrhytmia

2

Chronic obstructive pulmonary disease

2

Gastrointestinal bleeding

2

Liver disease

2

Cancer

2

At our center KTR are routinely transferred directly from the operating room (OR) to a High Dependency Unit (HDU) at the surgical ward. Patients not extubated in the OR and patients considered to be at high risk for developing (in particular) cardiopulmonary postoperative complications are transferred to the ICU (critical care level 3) directly from the OR. Patients developing postoperative complications at the surgical ward are, when indicated, transferred to the ICU for advanced monitoring and support. The most serious medical problem leading to ICU admission was registered in the study as the main ICU admission reason.

Due to the fact that there is only one transplant center and the long distances in Norway all KTR normally receives post-transplantation follow-up at an out-patients clinic at our center for approximately 8 weeks. This gives complete data for all patients from the early post-engraftment period including need of hospitalizing and medical care. After 8 weeks the patients are transferred to their local nephrology center.

Statistics

Survival was analyzed using Kaplan-Meier and Cox regression models. Associations between LCI score and ICU admission were analyzed in multivariate logistic regression models. We used chi-squared or Fishers exact test for categorical variables and unpaired t-tests for continuous variables. All reported p-values were two-sided and probability levels below 0.05 were considered significant. All statistical analyses were performed using the IBM SPSS statistics version 24.

Results

A total of 1398 kidney transplantations were performed during the study period. Six hundred and thirty-nine (46%) recipients were 55 years or older (mean age ± SD; 66.0 ± 6.5) and were included in the final analyses. Four hundred and forty-seven (70%) were male. Overall mean LCI score was 2.6 (± 2.4). Ninety-eight recipients (15% of the study population) were admitted to the ICU during the early post-operative phase and 37 (8%) stayed for more than 24 hr. Cardio-respiratory failure was the main reason for ICU admission (54%). Baseline characteristics are presented in Table 2. The proportion of elderly, time on waiting list and dialysis vintage seems to be higher in the group of recipients staying >24h in ICU. There was no ICU mortality. The median LCI score was 2 in the non-ICU group (range 0-13), 3 in the ICU <24 hr (range 0-8) (p=0.001 vs. non-ICU), and 4 in the ICU >24 hr (range 0-12) (p<0.001 vs. non-ICU). LCI score ≥ 7 and ICU stay ≥ 24 hours were both independently associated with impaired survival (Figure 1 and 2, Table 3). An elevated pre-transplant LCI score was associated with and increased risk of admittance to ICU (Table 4).

Table 2. Baseline characteristics

Variables

All recipients (n=639)

Admitted ICU (n=98)

ICU > 24h (n=37)

Age (mean age ± SD)

66.0 ± 6.6

66.5 ± 6.4

67.3 ± 6.9

Gender (m/f)

448/191

66/32

23/14

First KTx, n (%)

620 (97)

89 (91)

31 (84)

Previous KTx, n (%)

  19 (3)

  9 (9)

  6 (16)

Pre-emptive KTx, n (%)

166 (26)

28 (29)

  7 (19)

LD / DD

118/521

13/85

4/33

Time in dialysis (months) (median, range)

21 (1-108)

27 (3-108)

31 (3-108)

Time on waiting list (months) (median, range)

12 (0.1-104)

13 (0.3-108)

15 (0.3-104)

LCI 0-3, n (%)

437 (68)

51 (52)

17 (46)

LCI 4-6, n (%)

150 (24)

32 (33)

13 (35)

LCI ≥ 7, n (%)

  52 (8)

15 (15)

  7 (19)

KTx: Kidney Transplantation; LD: Living donor; DD: Deceased donor; LCI: Liu Comorbidity Index; ICU: Intensive care unit

Table 3. Multivariable Cox regression model adjusted for age and gender, describing associations between Liu comorbidity score, ICU admission and patient death

Multivariable Cox regression model

HR (95% CI)

P-value

LCI score 0-3

Reference

LCI score 4-6 vs. 0-3

1.46 (0.99-2.14)

0.055

LCI score ≥ 7 vs. 0-3

2.27 (1.36-3.77)

0.002

No ICU

Reference

ICU < 24 hours vs. no ICU

1.43 (0.87-2.35)

0.154

ICU > 24 hours vs. no ICU

3.72 (2.15-6.45)

<0.001

Age (per year)

1.06 (1.03-1.09)

<0.001

Male Gender

1.06 (0.72-1.56)

0.760

Table 4. Logistic regression model analyses adjusted for age and gender, describing associations between Liu comorbidity score and ICU admission

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ICU admission

N

OR (95% CI)

P-value

LCI score 0-3

436

Reference

Reference

LCI score 4-6

151

2.18 (1.33-3.58)

0.002

LCI score ≥ 7

52

3.24 (1.64-6.38)

0.001

Age

639

1.01 (0.98-1.04)

0.625

Male Gender

639

0.75 (0.47-1.21)

0.241

ICU >24 hours

LCI score 0-3

436

Reference

Reference

LCI score 4-6

151

2.20 (0.93-5.23)

0.073

LCI score ≥ 7

52

5.08 (1.89-13.66)

0.001

Age

639

1.03 (0.98-1.10)

0.259

Male Gender

639

0.70 (0.31-1.56

0.380

Figure 1. Patient survival according to Liu Comorbidity score

Figure 2. Patient survival according to ICU stay within the first 40 post-operative days

Discussion

Our data revealed that elderly recipients with a pre-transplant LCI score > 7 had more than twice the risk of significantly impaired post-engraftment survival compared to recipients with LCI <3. It is indeed noteworthy that even in our selected cohort of transplant candidates with presumably low comorbidity the LCI seems to be strongly associated with post engraftment survival. This finding may be helpful in the pre- transplant clinical evaluation of middle-aged and elderly kidney transplant candidates indicating that this is a “patients at risk” in need of special perioperative attention and early post-engraftment care.

As a result of the aging population, an increased number of older patients develop ESRD and become potential KTx candidates. This leads to an increasing demand of the transplant program and even though kidney transplantation is considered as a safe and recommended treatment for most patients with ESRD including older patients [14], some patients will be “too sick to transplant”. The KTx waiting time is currently short in our center (overall median approximately 15-18 months for first KTx) in contrast to many other centers that often have an average wait list of 3-5 years [15]. In addition, younger recipients will often be given priority over older resulting in even longer waiting times for older KTR candidates. At present, the decision about which patients are suitable for KTx is generally performed based on the standardized medical work-up combined with a clinical judgment. A publication by Kan, et al. evaluated the LCI in a very large, elderly (65 years of age) dialysis population and finds it to be a strong predictor of survival [16]. This gives support to our findings indicating that in the elderly, often high-risk candidates, the LCI could provide valuable additional information in the preoperative assessment and risk stratification.

There are several ways to assess comorbidity. In a recent study comparing five comorbidity indices McArthur, et al. conclude that none of the evaluated indices were able to accurately predict one-year mortality in CKD patients [11]. The CCI has previously been validated as a useful tool in adult and middle aged KTR. However, in studies of patients older than 70 years, comorbidity determined by CCI has not been associated with increased mortality [10,17]. The Rotterdam Comorbidity in Kidney Transplantation (RoCKeT) score published by Laging, et al. was developed based on data from KTR [18]. However, when the authors compared comorbidity assessed by the RoCKeT score and CCI, they demonstrated that even if a high comorbidity score was associated with a low post transplant survival, the only single diagnose that was significantly negatively associated with survival was the presence of pre-transplant peripheral vascular disease (PVD). They concluded that despite severe comorbidity, these patients had good post-transplant survival and should consequently be considered for kidney transplantation. It should be noted that the mean age in the study by Laging, et al. was 56.3 years compared to 66 years in our study.

Because of limited remaining life span, the absolute survival benefit of transplantation over dialysis in older patients is much smaller than in younger patients [1,19,20]. McArthur, et al. called for a comorbidity index that was specifically developed for CKD patients [11]. They did however not include the LCI score or the RoCKeT score in their evaluation. None of the available comorbidity indices were primarily developed to decide whether a patient with ESRD should be enlisted or not, but our findings indicate that the LCI score may be useful as an additional tool in the evaluation process of older kidney transplant candidates.

An elevated LCI score did not only indicate impaired survival, but also increased risk of ICU admission, which in turn implies significantly prolonged hospitalization and direct post-engraftment treatment associated costs. However, a successful KTR will in relatively short time outweigh the cost of continuous dialysis [21]. Patients with low functional capacity have higher mortality rate after KTx than candidates with higher functional capacity, however even in patients with the lowest functional status a better long-term survival is anticipated with a functioning kidney transplant vs. continuous dialysis [22,23]. It should also be noted that even older KTR experience improved health related quality of life after transplantation [24]. The decision to accept a patient for kidney transplantation should consequently be performed based on expected quality of life, expected life span and treatment related costs with and without transplantation.

Our study has several strengths and limitations. The data analyzed are from a single national center and includes all KTR older than 55 years receiving a transplant in the study period. It is consequently representative for the Norwegian KTR population and our current transplant protocol. Generalization to other transplant centers may be difficult due to differences in selection of older KTR candidates, waiting times, ethnicity and possibly referral policies. However, knowing that the ethnicity within Scandinavia/northern Europe is quite similar and the fact that many centers also accept older recipients makes it likely that the findings would be valid in these centers as well. The registration of comorbidity data was performed prospectively as a part of regular transplantation work-up, but since the registration are performed by nephrologists from 25 nephrology centers, a uniform registration of comorbidities cannot be guaranteed. Even though all data used in this study were registered prospectively, the collection of data was performed in retrospect.

Conclusion

In conclusion, an elevated pre-transplant LCI score predict impaired survival and increased admission rate to intensive care post-engraftment in older and middle-aged kidney transplant recipients. These findings indicate that a pre-transplant LCI may become a useful additional tool in the evaluation of older kidney transplant candidates in need of individualized postoperative follow-up.

References

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  2. Rao PS, Merion RM, Ashby VB, Port FK, Wolfe RA, et al. (2007) Renal transplantation in elderly patients older than 70 years of age: results from the Scientific Registry of Transplant Recipients. Transplantation 83: 1069-1074.
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  4. Okidi OO, Van Dellen D, Sobajo C, Summers A, Greer JR, et al. (2017) Kidney transplant recipients requiring critical care admission within one year of transplant. Exp Clin Transplant 15: 40-46.
  5. Jassal SV, Schaubel DE, Fenton SS (2005) Baseline comorbidity in kidney transplant recipients: a comparison of comorbidity indices. Am J Kidney Dis 46: 136-142.
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  9. Liu J, Huang Z, Gilbertson DT, Foley RN, Collins AJ (2010) An improved comorbidity index for outcome analyses among dialysis patients. Kidney international 77: 141-151.
  10. Heldal K, Hartmann A, Leivestad T, Svendsen MV, Foss A, et al. (2009) Clinical outcomes in elderly kidney transplant recipients are related to acute rejection episodes rather than pretransplant comorbidity. Transplantation 87: 1045-1051.
  11. McArthur E, Bota SE, Sood MM, Nesrallah GE, Kim SJ, et al. (2018) Comparing five comorbidity indices to predict mortality in chronic kidney disease: A retrospective cohort study. Canadian journal of kidney health and disease 5: 2054358118805418.
  12. Witczak BJ, Jenssen T, Endresen K, Røislien J, Hartmann A (2007) Risk factors for mortality in diabetic nephropathy patients accepted for transplantation.Transplantation84: 356-361. [Crossref]
  13. Egeland EJ, Reisaeter AV, Robertsen I, Midtvedt K, Strom EH, et al. (2019) High tacrolimus clearance - a risk factor for development of interstitial fibrosis and tubular atrophy in the transplanted kidney: a retrospective single-center cohort study. Transpl Int 32: 257-269.
  14. Lonning K, Midtvedt K, Leivestad T, Reisaeter AV, Line PD, et al. (2016) Are octogenarians with end-stage renal disease candidates for renal transplantation? Transplantation 100: 2705-2709.
  15. Saran R, Robinson B, Abbott KC, Agodoa LY, Albertus P, et al. (2017) US Renal Data System 2016 annual data report: Epidemiology of kidney disease in the United States. Am J Kidney Dis 69: 7-8.
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  17. Wu C, Shapiro R, Tan H, Basu A, Smetanka C, et al. (2008) Kidney transplantation in elderly people: the influence of recipient comorbidity and living kidney donors.J Am Geriatr Soc56: 231-238. [Crossref]
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  21. Jarl J, Desatnik P, Peetz Hansson U, Prütz KG, Gerdtham U-G (2018) Do kidney transplantations save money? A study using a before–after design and multiple register-based data from Sweden. Clin Kidney J 11: 283-288.
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Editorial Information

Editor-in-Chief

Dr. Sung Joo Kim
The School of Medicine, Sungkyunkwan University

Article Type

Research Article

Publication history

Received date: February 06, 2019
Accepted date: February 14, 2019
Published date: February 18, 2019

Copyright

©2019 Hausken J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Hausken J (2019) Predicting post-surgery outcome after kidney transplantation by a comorbidity index. Trends in Transplant 12: DOI: 10.15761/TiT.1000258

Corresponding author

John Hausken

Department of Anaesthesiology, Division of Emergencies and Critical Care, Oslo University Hospital, Norway.

Table 1. Liu Comorbidity Index

Liu Comorbidity Index

Comorbid conditions

Score

Diabetes mellitus

1

Congestive heart failure

3

Coronary artery disease

1

Cerebrovascular disease

2

Peripheral vascular disease

2

Other cardiac

2

Dysrhytmia

2

Chronic obstructive pulmonary disease

2

Gastrointestinal bleeding

2

Liver disease

2

Cancer

2

Table 2. Baseline characteristics

Variables

All recipients (n=639)

Admitted ICU (n=98)

ICU > 24h (n=37)

Age (mean age ± SD)

66.0 ± 6.6

66.5 ± 6.4

67.3 ± 6.9

Gender (m/f)

448/191

66/32

23/14

First KTx, n (%)

620 (97)

89 (91)

31 (84)

Previous KTx, n (%)

  19 (3)

  9 (9)

  6 (16)

Pre-emptive KTx, n (%)

166 (26)

28 (29)

  7 (19)

LD / DD

118/521

13/85

4/33

Time in dialysis (months) (median, range)

21 (1-108)

27 (3-108)

31 (3-108)

Time on waiting list (months) (median, range)

12 (0.1-104)

13 (0.3-108)

15 (0.3-104)

LCI 0-3, n (%)

437 (68)

51 (52)

17 (46)

LCI 4-6, n (%)

150 (24)

32 (33)

13 (35)

LCI ≥ 7, n (%)

  52 (8)

15 (15)

  7 (19)

KTx: Kidney Transplantation; LD: Living donor; DD: Deceased donor; LCI: Liu Comorbidity Index; ICU: Intensive care unit

Table 3. Multivariable Cox regression model adjusted for age and gender, describing associations between Liu comorbidity score, ICU admission and patient death

Multivariable Cox regression model

HR (95% CI)

P-value

LCI score 0-3

Reference

LCI score 4-6 vs. 0-3

1.46 (0.99-2.14)

0.055

LCI score ≥ 7 vs. 0-3

2.27 (1.36-3.77)

0.002

No ICU

Reference

ICU < 24 hours vs. no ICU

1.43 (0.87-2.35)

0.154

ICU > 24 hours vs. no ICU

3.72 (2.15-6.45)

<0.001

Age (per year)

1.06 (1.03-1.09)

<0.001

Male Gender

1.06 (0.72-1.56)

0.760

Table 4. Logistic regression model analyses adjusted for age and gender, describing associations between Liu comorbidity score and ICU admission

ICU admission

N

OR (95% CI)

P-value

LCI score 0-3

436

Reference

Reference

LCI score 4-6

151

2.18 (1.33-3.58)

0.002

LCI score ≥ 7

52

3.24 (1.64-6.38)

0.001

Age

639

1.01 (0.98-1.04)

0.625

Male Gender

639

0.75 (0.47-1.21)

0.241

ICU >24 hours

LCI score 0-3

436

Reference

Reference

LCI score 4-6

151

2.20 (0.93-5.23)

0.073

LCI score ≥ 7

52

5.08 (1.89-13.66)

0.001

Age

639

1.03 (0.98-1.10)

0.259

Male Gender

639

0.70 (0.31-1.56

0.380

Figure 1. Patient survival according to Liu Comorbidity score

Figure 2. Patient survival according to ICU stay within the first 40 post-operative days