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Trends in underlying causes of death in solid organ transplant recipients between 2010 and 2020: Using the CLASS method for determining specific causes of death

  • Andreas Søborg ,

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Project administration, Visualization, Writing – original draft

    andreas.soeborg@regionh.dk

    Affiliation Centre of Excellence for Health, Immunity, and Infections (CHIP), Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Joanne Reekie,

    Roles Conceptualization, Formal analysis, Investigation, Supervision, Writing – review & editing

    Affiliation Centre of Excellence for Health, Immunity, and Infections (CHIP), Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Allan Rasmussen,

    Roles Resources, Writing – review & editing

    Affiliation Department of Surgery, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Caspar Da Cunha-Bang,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Hematology, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Finn Gustafsson,

    Roles Resources, Writing – review & editing

    Affiliation Department of Cardiology, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Kasper Rossing,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Cardiology, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Michael Perch,

    Roles Investigation, Resources, Writing – review & editing

    Affiliation Department of Cardiology, Section for Lung Transplantation, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Paul Suno Krohn,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Surgery, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Søren Schwartz Sørensen,

    Roles Resources, Writing – review & editing

    Affiliation Department of Nephrology, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Thomas Kromann Lund,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Cardiology, Section for Lung Transplantation, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Vibeke Rømming Sørensen,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Nephrology, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Christina Ekenberg,

    Roles Investigation, Writing – review & editing

    Affiliation Centre of Excellence for Health, Immunity, and Infections (CHIP), Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Louise Lundgren,

    Roles Investigation, Writing – review & editing

    Affiliation Centre of Excellence for Health, Immunity, and Infections (CHIP), Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Isabelle Paula Lodding,

    Roles Investigation, Writing – review & editing

    Affiliation Centre of Excellence for Health, Immunity, and Infections (CHIP), Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Kasper Sommerlund Moestrup,

    Roles Investigation, Writing – review & editing

    Affiliation Centre of Excellence for Health, Immunity, and Infections (CHIP), Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  • Jens Lundgren,

    Roles Conceptualization, Funding acquisition, Project administration, Resources, Writing – review & editing

    Affiliations Centre of Excellence for Health, Immunity, and Infections (CHIP), Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark, Department of Infectious Diseases, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

  •  [ ... ],
  • Neval Ete Wareham

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Project administration, Supervision, Writing – review & editing

    Affiliations Centre of Excellence for Health, Immunity, and Infections (CHIP), Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark, Department of Infectious Diseases, Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark

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Abstract

Monitoring specific underlying causes of death in solid organ transplant (SOT) recipients is important in order to identify emerging trends and health challenges. This retrospective cohort study includes all SOT recipients transplanted at Rigshospitalet between January 1st, 2010 and December 31st, 2019. The underlying cause of death was determined using the newly developed Classification of Death Causes after Transplantation (CLASS) method. Cox regression analyses assessed risk factors for all-cause and cause-specific mortality. Of the 1774 SOT recipients included, 299 patients died during a total of 7511 person-years of follow-up (PYFU) with cancer (N = 57, 19%), graft rejection (N = 55, 18%) and infections (N = 52, 17%) being the most frequent causes of death. We observed a lower risk of all-cause death with increasing transplant calendar year (HR 0.91, 95% CI 0.86–0.96 per 1-year increase), alongside death from graft rejection (HR 0.84 per year, 95% CI 0.74–0.95) and death from infections (HR 0.86 per year, 95% CI 0.77–0.97). Further, there was a trend towards lower cumulative incidence of death from cardiovascular disease, graft failure and cancer in more recent years, while death from other organ specific and non-organ specific causes did not decrease. All-cause mortality among SOT recipients has decreased over the past decade, mainly due to a decrease in graft rejection- and infection-related deaths. Conversely, deaths from a broad range of other causes have remained unchanged, suggesting that cause of death among SOT recipients is increasingly diverse and warrants a multidisciplinary effort and attention in the future.

Introduction

Survival after solid organ transplantation (SOT) has increased since the 1980s and 1990s [1, 2]. The primary improvement has been observed in short term survival within the first year after transplantation, due to a decrease in death from predominately graft failure and a decrease in death from infections across all types of solid organ transplantations [3, 4]. This is likely a result of novel immunosuppressive regimens, improved surgical treatment and implementation of preemptive initiatives towards infections [57].

However, overall mortality rates among individuals who have received SOT remains far above those observed in the age-matched general population [8, 9]. Some of this excess risk could be attributed to an increase in pre-transplant comorbidities and risk factors, including older age at time of transplant, in recipients transplanted in more recent years [2, 10, 11]. In 2019 for example, 21.8% of kidney transplant recipients in the United States were aged 65 years or older compared to just 9.2% in 2000 [12]. As the age of SOT recipients increases, recipients become more vulnerable to multiple diseases and illnesses. For example, deaths due to cancer have become an emerging cause of death in SOT recipients [1315].

A common limitation in previous studies has been incomplete classification of causes of death with up to 60% of deaths attributed to unknown or missing causes in large cohort studies [13, 1619]. Further, using national death registries where the cause of death more often refers to the underlying disease leading to transplantation may be misleading and thus less useful in a transplant setting [20]. Therefore, the aim of this work was to determine the specific underlying causes of death in SOT recipients using the recently developed Classification of Death Causes after Transplantation (CLASS) method [20], which includes a thorough investigation of the events leading to death and a review process by independent transplant specialists. This method has previously shown relatively high discrepancy when compared with national registries, resulting in reclassification of causes of death in more than 60% of cases [20]. A further aim was to investigate changes in both all-cause and specific causes of death observed during the last 10 years in SOT recipients from the largest transplantation center in Denmark.

Materials and methods

Study design and population

We conducted a single center, observational cohort study of SOT recipients (heart, kidney, liver, lung or pancreas transplantations) at Rigshospitalet, a large tertiary transplant center in Copenhagen, Denmark with regional function for transplantation of kidneys and adult hearts and national function for transplantation of all other solid organs as well as pediatric hearts. All children and adults who received their first solid organ transplant between January 1st, 2010 and December 31st, 2019 and enrolled in the Management of Post-Transplant Infections in Collaborating Hospitals (MATCH) program [21, 22] were included retrospectively. MATCH is a clinical application introduced in 2013 consisting of an individual surveillance plan to earlier detect virus infections among transplant recipients, and thus all recipients transplanted at Rigshospitalet were enrolled prospectively in MATCH from 2013, and retrospectively between 2010 and 2013. A small number of patients transplanted abroad or at another Danish transplant center and subsequently enrolled in MATCH for monitoring were included as well. Kidney transplantations included both deceased and living donors. Heart and lung transplant recipients received lifelong follow-up at Rigshospitalet while kidney and liver recipients were followed at local hospitals shortly after transplantation. Detailed information on immunosuppressive and antimicrobial prophylactic regimens for each type of transplantation is shown in S1 Table.

CLASS method

Patients who died during the 10-year period of follow-up were registered both continuously through reporting by clinicians responsible of care and retrospectively through linkage to the Danish Civil Registration System where data on deaths in Denmark are close to 100% complete [23]. The specific underlying cause of death was obtained in accordance with a modified version of the validated Classification of Death Causes after Transplantation (CLASS) method [20] which includes completion of a Case Record Form for deceased patients and a review process by two independent and mutually anonymous transplant specialists who each review and decide the cause of death chosen from a list of more than 250 specific causes [24]. In case of disagreement between the two reviewers, an adjudication process is initiated where the cause of death can be discussed and agreed upon. Ultimately, if agreement between the two reviewers cannot be achieved, a panel of specialists will determine the final cause of death. The modification consisted of fatal cases being considered either complicated or uncomplicated based on criteria proposed previously [20] and only cases categorized as complicated being sent into review.

Data sources

Electronic medical files were reviewed upon completion of Case Record Forms. Further, clinical characteristics, biochemical parameters, pathology, microbiology, imaging, and all diagnoses registered during hospital admission were retrieved from the Centre of Excellence for Personalized Medicine of Infectious Complications in Immune Deficiency (PERSIMUNE) [25] data repository. The PERSIMUNE data repository contains data from national and regional registries as well as clinical databases, such as the MATCH database, collected prospectively as part of clinical care (S2 Table). Due to the high completeness of death data collected through the Danish Civil Registration System [23], only patients who moved permanently overseas were lost to follow-up, which was assumed to be a very small proportion of the cohort.

Definitions

Underlying cause of death was defined as the disease or comorbidity leading to the death or directly causing the event classified as the immediate cause of death. Underlying causes of death were further grouped in wider categories to perform statistical analyses, including deaths due to cardiac or vascular disease, graft failure, graft rejection, infections, cancer, unknown causes and other organ specific causes (aside from those specified above) and non-organ specific causes. Non-organ specific causes include hemorrhage, alcohol abuse and other causes. Deaths from cancer include de novo cancer (primary, i.e. the patient’s first cancer, and secondary, i.e. a distinct cancer that has occurred after a previous cancer of another type) and, for patients with a previous primary cancer disease, relapse of the primary cancer. Graft-versus-host disease (GvHD), a rare cause of death in SOT recipients, was grouped with graft rejection. In cases where graft rejection led to subsequent graft failure and death of the patient, underlying cause of death was classified as graft rejection.

Patients with simultaneous liver and kidney transplantations were grouped as liver transplant recipients, simultaneous lung and kidney transplantations were grouped as lung transplant recipients and simultaneous kidney and pancreas transplantations were grouped as kidney transplant recipients.

The study period was divided into three posttransplant periods for investigation of changes in mortality over time after transplantation, namely an early period (≤1 year posttransplant), an intermediate period (between >1 and 3 years posttransplant) and a late period (between >3 and 10 years posttransplant).

To assess changes in mortality according to transplant calendar year, the study period was divided into an early (2010–14) and a recent (2015–19) transplant era. For changes between transplant eras, only deaths within the first five years posttransplant were assessed due to limited observation period for those transplanted more recently.

Statistical analysis

Patients were included at their first date of transplantation and followed until date of death or censor at December 31st, 2019 (the last date which records were available).

Patient characteristics at the time of transplant were described as frequencies and percentages for categorical variables, and continuous data were reported as means or medians with interquartile ranges (IQR). Mann–Whitney U tests for continuous variables and the chi-square test for categorical variables were used to compare the characteristics across transplant types.

Cumulative incidence curves for cause-specific mortality (wider categories) were calculated for all-types of transplantations and for each of the three posttransplant periods including only patients alive at the beginning of each period. Cumulative incidence curves were also performed for specific causes of death stratified by early (2010–14) and recent (2015–19) transplant era.

Crude mortality rates per 1000 person-years of follow-up (PYFU) for all-cause and cause-specific mortality according to transplanted organ were estimated.

Univariable and multivariable Cox proportional hazard models were conducted to investigate the association between baseline and time-updated characteristics with all-cause and cause-specific mortality, with deaths from other causes treated as competing risks. Baseline characteristics included gender, transplanted organ, age at time of transplant (categorized as age<18, age 18–44, age 45–65 and age>65) and transplant calendar year (per 1-year increase), while number of transplantations (1 or >1) was included as a time-updated variable. Number of transplantations count simultaneous transplantations as one, and only transplantations performed during the study period are counted, as patients with a transplantation prior to 2010 were excluded from the cohort. Due to their clinical relevance, all baseline characteristics were included in the multivariable analyses regardless of their significance in the univariate models. All analyses performed using Cox models were repeated as Fine and Gray models with no deviation of any significance in the results observed between the two types of test. All tests performed were reported with two-tailed p-values.

Sensitivity analyses in a sub-group of patients transplanted before 2018 were conducted to investigate if similar patterns were observed in participants with at least two years of follow-up. In additional sensitivity analyses, pre-transplant chronic diseases were included in multivariable analyses, i.e. cardiovascular disease, diabetes mellitus, chronic lung disease, chronic kidney disease, chronic liver disease, connective tissue disease, cerebrovascular disease, cancer, and peripheral vascular disease. National pre-transplant chronic disease data were available until 2017, hence these sensitivity analyses censored data after 2017. Further, analyses comparing a cluster of heart, lung and liver recipients and a cluster of kidney and combined kidney-pancreas recipients were conducted in order to differentiate between patients for whom graft failure would result in death or re-transplantation as opposed to patients who are able survive on substitution therapy after graft failure. Additional sensitivity analyses excluding pediatric patients were also conducted as underlying clinical conditions differ markedly in this group.

Categories of causes of death were only assessed if there were 30 or more deaths with that cause.

All data analyses were performed using SAS Enterprise Guide version 7.1 [SAS Institute, Cary, NC] and plots were created using GraphPad Prism 9 [GraphPad Software, San Diego, CA].

Approvals

Relevant approvals for this study were obtained from the Danish National Data Protection Agency (2012-58-0004, RH-2016-47, with I-Suite number: I-suite 04433), the Danish Patient Safety authority 31-1521-160 and the MATCH steering committee. According to Danish legislations, informed consent is not required for retrospective studies of clinical cohorts. None of the transplant donors were from a vulnerable population and all donors or next of kin provided written informed consent that was freely given. All medical costs related to the transplant procedures are covered entirely by the Danish healthcare system and cash payments to donors or family of donors are illegal.

Results

Patient population and demographic changes over transplant calendar year

A total of 1774 patients in the MATCH cohort transplanted during the study period were included. No patients were excluded due to missing data or for any other reason. Of these, kidneys were the most frequently transplanted organ (N = 866, including single or multiple kidney transplantations N = 837 and combined kidney-pancreas transplantations N = 29), followed by liver (N = 476), lung (N = 299), and heart (N = 133) (Table 1). The majority of the patients were males (59.9%) and median age at time of transplantation was 49.6 years (IQR 38.1–58.5). The number of patients included in the cohort was similar across the two transplant eras (N = 854 in the early era 2010–14 and N = 920 in the more recent era 2015–19), and no changes between eras were seen in the distribution of transplant types (p = 0.571), gender (p = 0.344), median age (p = 0.107) and baseline chronic diseases. Baseline characteristics are described in Table 1 and frequencies of pre-transplant comorbidities are shown in S3 Table.

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Table 1. Cohort demographics at the time of transplantation (except time-updated number of transplantations).

https://doi.org/10.1371/journal.pone.0263210.t001

During a total of 7511 PYFU, 299 patients died (incidence rate of 39.8 per 1000 PYFU, 95% confidence interval (CI) 35.5–44.6) with the highest both absolute and relative numbers seen in lung transplant recipients (104 deaths in 299 patients, incidence rate of 100.3 per 1000 PYFU, 95% CI 82.8–121.6). Clinical characteristics for deceased patients are presented in Table 2.

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Table 2. Clinical characteristics of deceased patients recorded in Case Record Forms*.

https://doi.org/10.1371/journal.pone.0263210.t002

Characteristics associated with all-cause mortality and change over transplant calendar year

In multivariable analyses, the risk of all-cause mortality decreased by transplant calendar year (hazard ratio (HR) 0.91, 95% CI 0.86–0.96 per 1-year increase). The decreasing association was also seen in sensitivity models including patients transplanted before 2018 only (HR 0.92, 95% CI 0.87–0.98 per 1-year increase), and in analyses adjusting for pre-transplant chronic diseases (HR 0.92, 95% CI 0.86–0.97 per 1-year increase).

Heart, kidney, and liver transplant recipients had significantly lower risk of all-cause mortality compared with lung transplant recipients (S1 Fig). All age groups had a lower risk of all-cause mortality compared with patients aged > 65 years (HR 0.38, 95% CI 0.22–0.67 for patients aged < 18 years, HR 0.22, 95% CI 0.14–0.34 for patients aged 18–44 and HR 0.39, 95% CI 0.27–0.56 for patients aged 45–65 years). Having more than one transplantation was associated with a 2.1-fold higher risk of mortality (HR 2.1, 95% CI 1.2–3.5), while gender had no significant association with all-cause mortality. Consistent findings were observed in sensitivity analysis including only adult SOT recipients (HR 0.89, 95% CI 0.84–0.94 per 1 year increase in transplant calendar year). Analyses including only pediatric patients were not possible due to low numbers.

In stratified analyses including kidney and combined kidney-pancreas transplant recipients vs heart, lung and liver recipients, results were generally consistent with the main analyses (S2 Fig). In both groups older patients had increased risk of mortality and among heart, lung and liver recipients having more than one transplantation were associated with higher mortality. However, the increase in risk of death with older age at time of transplantation was more profound among kidney transplant recipients (11-fold higher risk for patients > 65 compared to patients aged 18–45) (S2B Fig), and a significant decrease in risk of death with increasing transplant calendar year was only observed in the heart, lung and liver group (HR 0.90, 95% CI 0.85–0.95 per one-year increase) (S2A Fig). Further analyses stratified by each transplanted organ were limited due to small numbers and although results were similar to the main analyses, a significantly lower risk of all-cause mortality by increasing transplant calendar year was only observed in lung transplant recipients (HR 0.87, 95% CI 0.79–0.94 per one-year increase).

Main causes of death

Cancer (N = 57, 19.1%), graft rejection (N = 55, 18.4%) and infections (N = 52, 17.4%) were the most frequent causes of death overall, with variations between different transplanted organs (Fig 1). In 8.0% of the cases cause of death could not be determined, as the patient died either unobserved outside a hospital or in local hospitals where no hospital records were available for assessment. Late deaths more often had unknown cause of death (N = 21 of 24 later than 1 year posttransplant) compared to early deaths (N = 3 of 24 earlier or equal to one year posttransplant). Among pediatric patients (N = 119, 21 deaths), the most frequent cause of death was graft failure (N = 7, 33.3%, all occurring in liver transplant recipients) followed by infections, cancer, and other organ specific and non-organ specific causes (all with N<5). No pediatric patients died from either cardiovascular disease or unknown cause.

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Fig 1. Distribution of recorded causes of death (percentages) between types of transplantation.

* Graft rejection includes one death from GvHD. ** Other organ specific and non-organ specific causes includes death from organ failure or dysfunction not caused by graft rejection, graft failure, cancer or infection, death from hemorrhage and death from other causes.

https://doi.org/10.1371/journal.pone.0263210.g001

Among cancer deaths, de novo cancers were most frequently observed (N = 35, 61.4%) followed by relapse of a previous cancer (N = 20, 35.1%) and secondary cancers (N = 2, 3.5%). The most common de novo cancer leading to death was lung cancer (N = 11) followed by colon cancer (N = 7). More than half of all deaths from de novo cancer (N = 19, 54.3%) occurred in kidney transplant recipients, whereas almost all deaths from relapse of a previous cancer occurred in liver transplant recipients (N = 18, 90.0%) who mainly died from relapse of hepatocellular carcinoma. Distribution of cancer deaths including subtypes and diagnoses are shown in S4 Table.

The majority of deaths from graft rejection occurred in lung transplant recipients, where this was the main underlying cause of death with an incidence rate of 44.4 (95% CI 33.2–59.3) per 1000 PYFU (N = 46 in 104 deaths). Of these, the main type was chronic rejection (N = 39, 84,8%), followed by acute rejection (N = 3, 6.5%), unspecified rejection (N = 3, 6.5%) and gastrointestinal graft versus host disease (N = 1, 2.2%).

Infections were the third most frequent cause of death across all types of transplantations, with an incidence rate of 6.9 (95% CI 5.3–9.1) per 1000 PYFU for the entire cohort. Of the 52 deaths due to infections, 15 (28.8%) were caused by bacterial infection (most frequently several pathogens), 9 (17.3%) by viral infection (most frequently CMV infection) and 7 (13.5%) by fungal infection (most frequently aspergillus infection) while the remaining 21 cases (40.4%) were either of unknown etiology, protozoal or caused by a combination of infectious agents. Frequencies of identified infectious agents in deaths from infection stratified by transplant type can be found in S4 Table.

Of the 46 patients with other organ specific and non-organ specific causes of death, 30 died from organ failure or dysfunction not caused by graft rejection, graft failure, cancer or infection, including complications to diabetes mellitus (N = 9) (the complications include hypoglycemic episodes leading to death or universal arteriosclerosis leading to myocardial infarction and death), chronic obstructive pulmonary disease/pulmonary failure (N = 8) and a variety of other specific causes. In 13 of the 30 recipients, the organ dysfunction leading to death was present prior to the transplantation. The remaining 16 recipients primarily died from hemorrhages, suicide, and alcohol abuse.

Changes in specific causes of death over transplant calendar year, transplant era and posttransplant period

Fig 2 demonstrates changes in the causes of death according to transplant era while changes by posttransplant period can be found in S3 Fig. Fig 3 shows adjusted hazard ratios for cause-specific death per one-year increase in transplant calendar year.

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Fig 2. Cumulative incidence curves stratified by era of transplantation (2010–14 and 2015–19) for (A) death from graft rejection*, (B) death from infection, (C) death from cardiovascular disease, (D) death from graft failure, (E) death from cancer and (F) death from other organ specific and non-organ specific causes**.

* Graft rejection includes one death from GvHD. ** Other organ specific and non-organ specific causes includes death from organ failure or dysfunction not caused by graft rejection, graft failure, cancer or infection, death from hemorrhage and death from other causes.

https://doi.org/10.1371/journal.pone.0263210.g002

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Fig 3. Adjusted hazard ratio* of mortality according to transplant calendar year (per one-year increase).

* Adjusted for the baseline (gender, age at time of transplantation and transplanted organ) and time-updated characteristics (number of transplantations). ** Graft rejection includes one death from GvHD. *** Other organ specific and non-organ specific causes includes death from organ failure or dysfunction not caused by graft rejection, graft failure, cancer or infection, death from hemorrhage and death from other causes.

https://doi.org/10.1371/journal.pone.0263210.g003

The cumulative incidence of graft rejection related death and infection related death decreased markedly from the early to the recent transplant era (Fig 2A and 2B). Thus, the cumulative incidence rate (CIR) of death from graft rejection at three years posttransplant was 3.3% (95% CI 2.2%-4.6%) in the early era and 1.9% (95% CI 1.0%-3.3%) in the recent era while the CIR of death from infections decreased from 2.8% (95% CI 1.9%-4.1%) to 1.9% (95% CI 1.1%-3.2%) over the two eras. Further, there was a trend towards lower cumulative incidence across transplant eras of death from cardiovascular disease, graft failure and cancer (Fig 2). Conversely, death from other organ specific and non-organ specific causes did not tend to decrease across the two transplant eras. Similar patterns were observed when transplanted organs were assessed separately, although numbers of deaths were too small to draw any conclusions.

There was a lower risk of graft rejection and infection related deaths by increasing transplant calendar year after adjustment for baseline clinical characteristics (HR 0.84, 95% CI 0.74–0.95 and HR 0.86, 95% CI 0.77–0.97, respectively) (Fig 3). No other specific causes of death showed a statistically significant lower hazard of mortality over transplant calendar year (Fig 3). Results were consistent in analyses excluding pediatric patients (HR 0.84, 95% CI 0.74–0.96 and HR 0.85, 95% CI 0.75–0.97 for graft rejection and infection related death, respectively). Results were also consistent in stratified analyses including heart, lung and liver recipients only (HR 0.84, 95% CI 0.74–0.95 and HR 0.85, 95% CI 0.74–0.98 for graft rejection and infection related death, respectively) while transplant year did not have a statistically significant impact on mortality risk in stratified analyses including kidney and combined kidney-pancreas transplant recipients only. A lower hazard of graft rejection related death with increasing transplant calendar year was also observed in analyses including lung transplanted patients only (HR 0.83, 95% CI 0.72–0.95).

In the early posttransplant period (the first year after transplantation), the most common cause of death was infections (CIR 1.6%, 95% CI 1.0%-2.2% at 1 year posttransplant). In the following period, between >1 and 3 years after transplantation, graft rejection accounted for most deaths (CIR 1.9%, 95% CI 1.3%-2.8% at 3 years posttransplant). In the late period, between >3 and 10 years after transplantation, cancer (CIR 3.5%, 95% CI 2.3%-5.2%) and other organ specific and non-organ specific causes (CIR 3.3%, 95% CI 1.9%-5.4% at 10 years posttransplant) emerged as frequent causes of death (S3 Fig).

Discussion

This study investigated trends in underlying cause of death in SOT recipients transplanted between 2010 and 2020 at a large tertiary transplant centre in Denmark, with close to complete ascertainment of death and 92% known cause of death. A lower risk of all-cause mortality was observed among individuals transplanted more recently, even after accounting for demographic characteristics and pre-transplant chronic diseases. This decrease was mainly driven by a decrease in deaths from graft rejection and death from infections, with death causes overall becoming increasingly diverse in more recent years. Further, the decreasing mortality risk was seen in stratified analyses including heart, lung, and liver recipients only, but not in analyses including kidney and combined kidney-pancreas recipients.

The decreasing risk of graft rejection related deaths by transplant calendar year was mainly driven by a decrease in this cause of death in lung transplant recipients. As most graft rejection related deaths were due to chronic graft rejection which often occur long after transplantation, it could be argued that the lower graft rejection related deaths in more recent transplant calendar years was due to insufficient follow-up time. However, sensitivity analyses excluding patients transplanted in more recent years showed consistent results. Our observation is in line with previous reports showing a decrease in the incidence of chronic allograft rejection in lung transplant recipients in the past decade [4, 26].

We found a decline in risk of death from infections over the transplant calendar years. The decline was mainly driven by a decrease in this cause among heart, lung, and liver recipients. Several recent large cohort studies have reported a similar decrease in infection related death after SOT in the past decade, most significantly in liver and kidney transplant recipients [2729]. This likely reflects advances in immunosuppressive regimens and continuously increasing focus on primary prophylaxis and screening for emerging infection before causing serious disease, allowing for pre-emptive therapy.

While risk of death due to infection and graft rejection decreased significantly over the transplant calendar years, there was a relative increase in the diversity of the causes of death in the present study. Thus, deaths due to a wide range of organ failure or dysfunction not caused by cancer, graft failure, rejection, or infections was the only category of death causes in this study that did not show a decreasing tendency between the early and more recent transplant eras. The increase in cause-of-death variation is likely due to a decrease in risk of death from infection and graft rejection which leads to a parallel relative increase in diverse causes of death. Moreover, as both surgical and medical treatment improves, transplantation indications have expanded in recent years and transplant candidates more often have pre-transplant comorbidities [30]. Thus, recipients may be more prone to developing various end-organ diseases in more recent years suggesting a higher competing risk between diseases to be registered as the cause of death. In fact, almost half of the recipients of our study who died from end-organ failure not caused by cancer, graft failure, rejection or infections suffered from these chronic diseases at time of transplantation. Notably, as opposed to what has been reported in previous studies, we observed no increase in pre-transplant comorbidities over time in our cohort. This may reflect the unavailability of comorbidity data after 2017 and could thus be due to lack of power. Further studies are warranted to better understand the relationship between chronic diseases at time of transplantation and cause of death.

Although the cumulative incidence of death from cancer seemed to decrease in the more recent transplant era, the risk of cancer death remained relatively stable over time after adjusting for potential confounders. The most frequent causes of de novo cancer death in our study was lung cancer and colorectal cancer. These findings are consistent with previous studies of de novo cancer after solid organ transplantation [17, 31]. Furthermore, lung and colorectal cancer are among the most frequent causes of death in the general Danish population [32]. Most previous studies have reported an increase in de novo cancer death over calendar periods which is likely a function of the long-term immunosuppression in long-term survivors and an increasingly ageing transplant population [33, 34]. The lack of long-term follow-up in patients transplanted in the more recent years in the present study could explain the lack of confirmation of previous observations.

There was no decrease in all-cause mortality over calendar period in stratified analyses including only kidney and combined kidney-pancreas recipients. Patients with end-stage kidney disease often suffer from malnutrition, anemia and cardiovascular disease which impact clinical outcomes [35]. These diseases often persist after transplantation and constitute a major morbidity in kidney transplant recipients [36, 37]. Accordingly, almost half of the kidney recipients in the present study died from cardiovascular disease or other organ failures.

The underlying cause of death could be determined in the majority of the patients and only 8% in this study were classified with an unknown cause of death due to insufficient information. In comparison, deaths classified as unknown or missing cause have been reported in up to 40% of early deaths and 61.5% of late deaths in previous studies [13, 1619] potentially overlooking important tendencies.

A major strength of this study is the reliable classification of specific, underlying causes of death using the validated CLASS method [20]. Using consistent reviewers and CLASS-investigators across time periods, the method has been utilized in the classification of every death in this study. The method provides a uniform classification system and involves systematic review of medical files and assessment by transplant specialists. Another strength is that we included a large cohort of almost unselected patients at a large regional transplant center.

The present study has some limitations. The study includes a heterogeneous group of transplanted patients over a long time with differing underlying risk factors and transplant indications. Thus, we were generally unable to assess trends in cause of death in specific transplanted organs. Further, we were unable to adjust for temporal changes in immunosuppressive treatment regimens which may impact death from especially infections and graft rejection. The length of the study period renders it difficult to assess death causes that may occur 5–10 years post transplantation. Thus, changes over time in deaths from cancer and other causes which may take longer time to manifest themselves should be interpreted with caution. As is the case with observational studies, there may be other relevant factors such as additional pretransplant comorbidities or yet unidentified confounders which could not be considered in these analyses and may also have an impact on the results presented.

In conclusion, the study shows a significant decrease in risk of all-cause mortality for solid organ transplant recipients over transplant calendar year between 2010 and 2020, which was mainly driven by a decreasing risk of death from graft rejection and infections. On the other hand, the relative variation and diversity of cause of death showed a tendency to increase over the transplant calendar years. In many cases the chronic disease leading to death was present at time of transplantation. Increasing variation in cause of death is potentially an important concern as the cause of mortality becomes more unpredictable. Greater variation in causes of death requires additional focus on establishing a clinical infrastructure to monitor a wider range of morbidity and mortality causes in the coming years.

Supporting information

S1 Table. Use of immunosuppression and antimicrobial prophylaxis*.

* Doses are adjusted for pediatric patients according to weight and surface area. ** Kidney transplant includes single or multiple kidney transplants (n = 837) and combined pancreas and kidney transplants (n = 29). *** Liver transplant includes single or multiple liver transplants (n = 459) and combined liver and kidney transplants (n = 17). **** Lung transplant includes single or multiple lung transplants (n = 298) and combined lung and kidney transplants (n = 1). ***** Induction therapy for combined pancreas and kidney transplant recipients consists of Anti-thymocyte globulin and Prednisolone.

https://doi.org/10.1371/journal.pone.0263210.s001

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S3 Table. Frequencies of pre-transplant comorbidities recorded in regional and national registries in patients transplanted between 2010 and 2018.

National pre-transplant chronic disease data were unavailable from registries after 2017. Comorbidities recorded in regional and national registries are based on diagnosis codes registered by attending physicians in various hospitals as part of patient care and data may therefore be incomplete and imprecise. * Kidney transplant includes single or multiple kidney transplants (n = 837) and combined pancreas and kidney transplants (n = 29). ** Liver transplant includes single or multiple liver transplants (n = 459) and combined liver and kidney transplants (n = 17). *** Lung transplant includes single or multiple lung transplants (n = 298) and combined lung and kidney transplants (n = 1).

https://doi.org/10.1371/journal.pone.0263210.s003

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S4 Table. Frequencies of specific cancers and infectious agents leading to death.

* Kidney transplant includes single or multiple kidney transplants (n = 837) and combined pancreas and kidney transplants (n = 29). ** Liver transplant includes single or multiple liver transplants (n = 459) and combined liver and kidney transplants (n = 17). *** Lung transplant includes single or multiple lung transplants (n = 298) and combined lung and kidney transplants (n = 1). **** Exact frequencies are not shown for specific transplant types due to small numbers and concern for patient confidentiality.

https://doi.org/10.1371/journal.pone.0263210.s004

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S1 Fig. Association between baseline characteristics and all-cause mortality.

*Results are shown on a log(2)-scale. **Per one year increase in transplant calendar year.

https://doi.org/10.1371/journal.pone.0263210.s005

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S2 Fig. Association between baseline characteristics and all-cause mortality for a cluster of (A) heart, lung, and liver transplant recipients and (B) a cluster of kidney and combined kidney-pancreas transplant recipients.

https://doi.org/10.1371/journal.pone.0263210.s006

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S3 Fig. Cumulative incidence curves for specific causes of death* according to posttransplant time periods.

(A) ≤1 year posttransplant, (B) between >1 and 3 years posttransplant, (C) between >3 and 10 years posttransplant. *Graft rejection includes `from organ failure or dysfunction not caused by graft rejection, graft failure, cancer or infection, death from hemorrhage and death from other causes.

https://doi.org/10.1371/journal.pone.0263210.s007

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Acknowledgments

We would like to thank Jacob Dam Svendsen, Torben Møller Weide and Erik Viuff Hansen for excellent data management assistance, and the MATCH steering committee for providing access to the MATCH database.

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