Abstract

OBJECTIVES

Lack of organ donors demands transplantation of older lung allografts for recipients between 0 and 50 years. So far, it has not yet been investigated whether donor–recipient age mismatch affects long-term outcome.

METHODS

Records of patients aged between 0 and 50 years were retrospectively reviewed. Donor–recipient age mismatch was calculated subtracting recipient age from donor age. Multivariable Cox regression analyses was performed to assess donor–recipient age mismatch regarding the end points’ overall patient mortality, mortality conditioned to hospital discharge, biopsy-confirmed rejection and chronic lung allograft dysfunction. Furthermore, we performed competing risk analysis to analyse if age mismatch affects biopsy-confirmed rejection and CLAD while death being a competing risk.

RESULTS

Between January 2010 and September 2021, out of 1363 patients who underwent lung transplantation at our institution, 409 patients fulfilled the eligibility criteria and were included. Age mismatch ranged between 0 and 56 years. Multivariable analysis revealed that donor–recipient age mismatch does not affect overall patient mortality (P = 0.19), biopsy-confirmed rejection (P = 0.68) and chronic lung allograft dysfunction (P = 0.42). There was no difference seen in CLAD (P = 0.166) and biopsy-confirmed rejection (P = 0.944) with the competing risk death (P = 0.765 and P = 0.851; respectively).

CONCLUSIONS

Age mismatch between recipients and donors of lung allografts does not affect long-term outcomes after lung transplantation.

ΙΝTRODUCTION

Lung transplantation is the only curative treatment for end-stage pulmonary diseases. Particularly in Europe, donor-age steadily increased over the past years. Shortage of available organs for transplantation requires extension of the lung transplant donor pool. Donor–recipient matchings plays an important role in lung allocation [1]. Among many factors like blood group and body height, age is highly considered in finding a suitable organ for the respective lung transplant candidate [2]. Providing that general organ selection criteria are fulfilled; it remains questionable whether high age mismatch in lung allocation impacts postoperative outcomes and survival. Here, we investigate outcomes of lung recipients aged between 0 and 50 years whose donors had an age mismatched ranged between 0 and 56 years.

PATIENTS AND METHODS

Patients and variable definition

Records of patients transplanted between January 2010 and September 2021 at our institution were retrospectively analysed and only patients aged between 0 and 50 years were included.

Donor–recipient age mismatch was calculated by subtracting recipient age from donor age.

The follow-up ended on 1 October 2021, it was 100% complete and amounted to a median of 58 (31–89) months. Overall patient mortality, mortality conditioned to hospital discharge, incidence of biopsy-confirmed rejection and incidence of chronic lung allograft dysfunction (CLAD) were considered end points. CLAD was defined as a decline in the forced expiratory volume in 1 s (FEV1) <81% compared to the baseline FEV1, after exclusion of other causes [3, 4]. Only patients with ≥2 spirometric measurements, who survived >90 days, were analysed for CLAD. Biopsy-confirmed acute cellular rejection was defined according to the grading of the International Society of Heart and Lung Transplantation [5, 6]. The variable terminology human leukocyte antigen (HLA) I, HLAII and HLAI + II means mismatch in human leucocyte antigens I, II or both, respectively.

Ethical statement

This retrospective study was approved by the ethics committee of Hannover Medical School, Hannover, Germany (registration number: 10394_BO_K_2022). Because the study was retrospective, the informed consent was waived.

Statistics

SPSS 26.0 (IBM, Armonk, NY, USA) was used for statistical analysis. The primary outcome was overall patient mortality. Secondary outcomes were mortality conditioned to hospital discharge, biopsy-confirmed acute rejection and CLAD.

Cox multivariable regression analysis was performed to assess donor–recipient age mismatch for the primary and secondary outcomes. Variables were included according to clinical considerations and are depicted in Table 1. To assess the heterogeneity of our study population, we additionally subdivided the patient population according to recipient-age groups: >0 to ≤10, >10 to ≤20, >20 to ≤30, >30 to ≤40 and >40 to <50 years. Also with the subdivided patient population, we performed competing risk analysis to investigate the competing outcomes of biopsy-confirmed rejection as well as CLAD versus death. Two-tailed P-values ≤0.05 were considered significant.

Table 1:

Variance inflation factor with age mismatch being the independent variable

VariableVIF
Recipient data
 CRF1.137
 CMV high risk1.098
 COPD1.200
 IPF1.204
 CFExcluded variable
 PAH3.002
 ReTx1.269
 Sarkoidosis1.084
 Other1.131
 HLAI1.469
 HLAII1.297
 HLAI + II1.768
Donor data
 Ventilation time1.049
 PO2 100%1.072
 Smoking1.060
 Contusion1.070
 Aspiration1.050
Intraoperative Data
 Clamshell1.209
 CPB1.226
 ECMO1.774
 ECMO postoperative2.904
 Lobar resection1.204
 Atypical resection1.090
VariableVIF
Recipient data
 CRF1.137
 CMV high risk1.098
 COPD1.200
 IPF1.204
 CFExcluded variable
 PAH3.002
 ReTx1.269
 Sarkoidosis1.084
 Other1.131
 HLAI1.469
 HLAII1.297
 HLAI + II1.768
Donor data
 Ventilation time1.049
 PO2 100%1.072
 Smoking1.060
 Contusion1.070
 Aspiration1.050
Intraoperative Data
 Clamshell1.209
 CPB1.226
 ECMO1.774
 ECMO postoperative2.904
 Lobar resection1.204
 Atypical resection1.090

CF: cystic fibrosis; CMV: Cytomegalovirus; COPD: chronic obstructive pulmonary disease; CPB: cardiopulmonary bypass; CRF: chronic renal failure; ECMO: extracorporeal membrane oxygenation; HLA: human leucocyte antigen; IPF: idiopathic pulmonary fibrosis; PAH: pulmonary arterial hypertension; ReTx: retransplantation. Variance inflation factor measures how much a certain independant variable is influenced by its interaction with other independent variables. Severe pulmonary arterial hypertension is a resting mean pulmonary artery pressure of ≥25 mmHg.

Table 1:

Variance inflation factor with age mismatch being the independent variable

VariableVIF
Recipient data
 CRF1.137
 CMV high risk1.098
 COPD1.200
 IPF1.204
 CFExcluded variable
 PAH3.002
 ReTx1.269
 Sarkoidosis1.084
 Other1.131
 HLAI1.469
 HLAII1.297
 HLAI + II1.768
Donor data
 Ventilation time1.049
 PO2 100%1.072
 Smoking1.060
 Contusion1.070
 Aspiration1.050
Intraoperative Data
 Clamshell1.209
 CPB1.226
 ECMO1.774
 ECMO postoperative2.904
 Lobar resection1.204
 Atypical resection1.090
VariableVIF
Recipient data
 CRF1.137
 CMV high risk1.098
 COPD1.200
 IPF1.204
 CFExcluded variable
 PAH3.002
 ReTx1.269
 Sarkoidosis1.084
 Other1.131
 HLAI1.469
 HLAII1.297
 HLAI + II1.768
Donor data
 Ventilation time1.049
 PO2 100%1.072
 Smoking1.060
 Contusion1.070
 Aspiration1.050
Intraoperative Data
 Clamshell1.209
 CPB1.226
 ECMO1.774
 ECMO postoperative2.904
 Lobar resection1.204
 Atypical resection1.090

CF: cystic fibrosis; CMV: Cytomegalovirus; COPD: chronic obstructive pulmonary disease; CPB: cardiopulmonary bypass; CRF: chronic renal failure; ECMO: extracorporeal membrane oxygenation; HLA: human leucocyte antigen; IPF: idiopathic pulmonary fibrosis; PAH: pulmonary arterial hypertension; ReTx: retransplantation. Variance inflation factor measures how much a certain independant variable is influenced by its interaction with other independent variables. Severe pulmonary arterial hypertension is a resting mean pulmonary artery pressure of ≥25 mmHg.

RESULTS

Patient characteristics

A total of 1363 lung transplantations have been carried out at our institution between January 2010 and September 2021. Among them, 621 (46%) transplantations were performed for patients aged between 0 and 50 years. Only lung recipients whose donors were older or at least the same age (n = 409, 30%) were included in the Cox regression analysis. The median donor–recipient age mismatch was 14 years with an interquartile range between 6 and 23 years. The minimum age mismatch was 0 years, and the maximum age mismatch was 56 years. The mean or frequency of the single variables used for Cox multivariable analysis is depicted in Table 2. Overall data of subgroups are described in Table 3. Overall survival (freedom from mortality), freedom from biopsy confirmed rejection and freedom from CLAD are depicted with Kaplan-Meier curves in the supplementary material (figure 2,3 and 4).

Table 2:

Mean/frequency of variables included in Cox multivariable analysis

VariableMean/frequency
Age mismatch15
Recipient data
 CRF37
 CMV high risk143
 COPD43
 IPF57
 CF179
 PAH53
 ReTx38
 Sarkoidosis10
 Other29
 HLAI65
 HLAII88
 HLAI + II19
Donor data
 Ventilation time20
 PO2 100%379
 Smoking162
 Contusion33
 Aspiration21
Intraoperative data
 Clamshell32
 CPB16
 ECMO133
 ECMO postoperative62
 Lobar resection27
 Atypical resection14
VariableMean/frequency
Age mismatch15
Recipient data
 CRF37
 CMV high risk143
 COPD43
 IPF57
 CF179
 PAH53
 ReTx38
 Sarkoidosis10
 Other29
 HLAI65
 HLAII88
 HLAI + II19
Donor data
 Ventilation time20
 PO2 100%379
 Smoking162
 Contusion33
 Aspiration21
Intraoperative data
 Clamshell32
 CPB16
 ECMO133
 ECMO postoperative62
 Lobar resection27
 Atypical resection14

CF: cystic fibrosis; CMV: cytomegalovirus; COPD: chronic obstructive pulmonary disease; CPB: cardiopulmonary bypass; CRF: chronic renal failure; ECMO: extracorporeal membrane oxygenation; HLA: human leucocyte antigen; IPF: idiopathic pulmonary fibrosis; PAH: pulmonary arterial hypertension; ReTx: retransplantation.

Table 2:

Mean/frequency of variables included in Cox multivariable analysis

VariableMean/frequency
Age mismatch15
Recipient data
 CRF37
 CMV high risk143
 COPD43
 IPF57
 CF179
 PAH53
 ReTx38
 Sarkoidosis10
 Other29
 HLAI65
 HLAII88
 HLAI + II19
Donor data
 Ventilation time20
 PO2 100%379
 Smoking162
 Contusion33
 Aspiration21
Intraoperative data
 Clamshell32
 CPB16
 ECMO133
 ECMO postoperative62
 Lobar resection27
 Atypical resection14
VariableMean/frequency
Age mismatch15
Recipient data
 CRF37
 CMV high risk143
 COPD43
 IPF57
 CF179
 PAH53
 ReTx38
 Sarkoidosis10
 Other29
 HLAI65
 HLAII88
 HLAI + II19
Donor data
 Ventilation time20
 PO2 100%379
 Smoking162
 Contusion33
 Aspiration21
Intraoperative data
 Clamshell32
 CPB16
 ECMO133
 ECMO postoperative62
 Lobar resection27
 Atypical resection14

CF: cystic fibrosis; CMV: cytomegalovirus; COPD: chronic obstructive pulmonary disease; CPB: cardiopulmonary bypass; CRF: chronic renal failure; ECMO: extracorporeal membrane oxygenation; HLA: human leucocyte antigen; IPF: idiopathic pulmonary fibrosis; PAH: pulmonary arterial hypertension; ReTx: retransplantation.

Table 3:

Overall data of subgroups

Decade≥0 to ≤10>10 to ≤20>20 to ≤30>30 to ≤40>40 to ≤50
Number of transplants14799098128
Mean donor age635455157
Number of female donors547526667
Number of sex mismatches724231828
Average age mismatch1119201610
Mortality rate (%)2114262427
Median follow-up (months)3358545958
Decade≥0 to ≤10>10 to ≤20>20 to ≤30>30 to ≤40>40 to ≤50
Number of transplants14799098128
Mean donor age635455157
Number of female donors547526667
Number of sex mismatches724231828
Average age mismatch1119201610
Mortality rate (%)2114262427
Median follow-up (months)3358545958
Table 3:

Overall data of subgroups

Decade≥0 to ≤10>10 to ≤20>20 to ≤30>30 to ≤40>40 to ≤50
Number of transplants14799098128
Mean donor age635455157
Number of female donors547526667
Number of sex mismatches724231828
Average age mismatch1119201610
Mortality rate (%)2114262427
Median follow-up (months)3358545958
Decade≥0 to ≤10>10 to ≤20>20 to ≤30>30 to ≤40>40 to ≤50
Number of transplants14799098128
Mean donor age635455157
Number of female donors547526667
Number of sex mismatches724231828
Average age mismatch1119201610
Mortality rate (%)2114262427
Median follow-up (months)3358545958

Cox regression analysis and competing risk analysis

Multivariable Cox regression analysis showed that age mismatch does not affect survival [hazard ratio (HR) 1.014; confidence interval (CI) 0.993–1.034, P = 0.192], biopsy-confirmed rejection (HR 0.997, CI 0.981–1.013, P = 0.678) and CLAD (HR 1.007, CI 0.99.1.025, P = 0.42).

After subdividing our patient population in the different subgroups mentioned above our data cannot show that age mismatch increases the risk for the outcomes survival, biopsy-confirmed rejection and CLAD except in the age subpopulation >10 to ≤20 years, where there is a slight increase in the risk for CLAD (HR 1.041, CI 1.010–1.073, P = 0.01) (Table 4).

Table 4:

Multivariable Cox regression analysis

VariableMultivariable
Overall dataHR95% CIP-Value
Mortality (n = 96)
 Age mismatch1.0140.993–1.0340.192
 ReTx2.1731.153–4.0960.016
 HLAI1.7951.104–2.9200.018
 Smoking1.5891.054–2.3960.027
 Clamshell2.5031.356–4.6190.003
 IPF1.7481.027–2.9740.04
Biopsy-confirmed rejection (n = 165)
 Age mismatch0.9970.981–1.0130.678
CLAD (n = 133)
 Age mismatch1.0070.99–1.0250.42
Age >0 to ≤10
Mortality (n = 3)a
Biopsy-confirmed rejection (n = 5)
CLAD (n = 1)
Age >10 to ≤20
Mortality (n = 11)
Biopsy-confirmed rejection (n = 23)
CLAD (n = 28)
 Age mismatch1.0411.010–1.0730.01
 ReTx49.72.99–824.540.006
 Aspiration8.1311.553–42.550.013
 Lobar resection2.8471.106–7.3270.03
Age >20 to ≤30
Mortality (n = 24)
Biopsy-confirmed rejection (n = 41)
 Age mismatch0.9580.925–0.9930.018
 CRF0.0970.011–0.8510.035
 IPF0.0860.011–0.6690.019
 CF0.1890.056–0.6410.007
 ReTx0.0920.014–0.5920.012
 HLAII2.0591.094–4.6670.028
 Smoking2.1431.025–4.4780.043
 Contusion0.0710.008–0.5970.015
 ECMO postoperative0.190.041–0.8810.034
CLAD (n = 31)
 Age mismatch1.0240.979–1.0710.3
 CRF6.0161.333–27.150.001
 HLAI + II9.9612.505–39.60.001
 PO2 100%1.0061.002–1.010.006
 Contusion0.0970.011–0.8550.097
Age >30 to ≤40
Mortality (n = 24)
 Age mismatch1.0260.978–1.0760.293
 CF0.3330.124–0.8950.029
 sPAH0.2540.066–0.9720.045
 HLAI3.6311.384–9.5240.009
 Smoking2.4000.979–5.8880.056
 ECMO3.3991.344–8.5980.01
Biopsy-confirmed rejection (n = 45)
CLAD (n = 32)
 Age mismatch0.9780.941–1.0180.28
 IPF3.1531.082–9.1870.035
 ECMO postoperative2.7071.115–6.5690.028
Age >40 to < 50
Mortality (n = 34)
 Age mismatch1.0140.951–1.0820.667
 Clamshell4.1671.429–12.150.009
 Lobar resection4.9221.709–14.80.003
Biopsy-confirmed rejection (n = 51)
 Age mismatch0.9720.931–1.0150.194
 ECMO postoperative7.5611.748–32.710.007
 PAH0.1070.017–0.6670.017
CLAD (n = 41)
 Age mismatch0.9740.927–1.0240.299
VariableMultivariable
Overall dataHR95% CIP-Value
Mortality (n = 96)
 Age mismatch1.0140.993–1.0340.192
 ReTx2.1731.153–4.0960.016
 HLAI1.7951.104–2.9200.018
 Smoking1.5891.054–2.3960.027
 Clamshell2.5031.356–4.6190.003
 IPF1.7481.027–2.9740.04
Biopsy-confirmed rejection (n = 165)
 Age mismatch0.9970.981–1.0130.678
CLAD (n = 133)
 Age mismatch1.0070.99–1.0250.42
Age >0 to ≤10
Mortality (n = 3)a
Biopsy-confirmed rejection (n = 5)
CLAD (n = 1)
Age >10 to ≤20
Mortality (n = 11)
Biopsy-confirmed rejection (n = 23)
CLAD (n = 28)
 Age mismatch1.0411.010–1.0730.01
 ReTx49.72.99–824.540.006
 Aspiration8.1311.553–42.550.013
 Lobar resection2.8471.106–7.3270.03
Age >20 to ≤30
Mortality (n = 24)
Biopsy-confirmed rejection (n = 41)
 Age mismatch0.9580.925–0.9930.018
 CRF0.0970.011–0.8510.035
 IPF0.0860.011–0.6690.019
 CF0.1890.056–0.6410.007
 ReTx0.0920.014–0.5920.012
 HLAII2.0591.094–4.6670.028
 Smoking2.1431.025–4.4780.043
 Contusion0.0710.008–0.5970.015
 ECMO postoperative0.190.041–0.8810.034
CLAD (n = 31)
 Age mismatch1.0240.979–1.0710.3
 CRF6.0161.333–27.150.001
 HLAI + II9.9612.505–39.60.001
 PO2 100%1.0061.002–1.010.006
 Contusion0.0970.011–0.8550.097
Age >30 to ≤40
Mortality (n = 24)
 Age mismatch1.0260.978–1.0760.293
 CF0.3330.124–0.8950.029
 sPAH0.2540.066–0.9720.045
 HLAI3.6311.384–9.5240.009
 Smoking2.4000.979–5.8880.056
 ECMO3.3991.344–8.5980.01
Biopsy-confirmed rejection (n = 45)
CLAD (n = 32)
 Age mismatch0.9780.941–1.0180.28
 IPF3.1531.082–9.1870.035
 ECMO postoperative2.7071.115–6.5690.028
Age >40 to < 50
Mortality (n = 34)
 Age mismatch1.0140.951–1.0820.667
 Clamshell4.1671.429–12.150.009
 Lobar resection4.9221.709–14.80.003
Biopsy-confirmed rejection (n = 51)
 Age mismatch0.9720.931–1.0150.194
 ECMO postoperative7.5611.748–32.710.007
 PAH0.1070.017–0.6670.017
CLAD (n = 41)
 Age mismatch0.9740.927–1.0240.299
a

In case cells are left empty, SPSS could not perform multivariable Cox regression analysis due to a low number of cases.

CF: cystic fibrosis; CI: confidence interval; CLAD: chronic lung allograft dysfunction; CRF: chronic renal failure; ECMO: extracorporeal membrane oxygenation; HLA: human leucocyte antigen; HR: hazard ratio; IPF: idiopathic pulmonary fibrosis; PAH: pulmonary arterial hypertension; ReTx: retransplantation.

Table 4:

Multivariable Cox regression analysis

VariableMultivariable
Overall dataHR95% CIP-Value
Mortality (n = 96)
 Age mismatch1.0140.993–1.0340.192
 ReTx2.1731.153–4.0960.016
 HLAI1.7951.104–2.9200.018
 Smoking1.5891.054–2.3960.027
 Clamshell2.5031.356–4.6190.003
 IPF1.7481.027–2.9740.04
Biopsy-confirmed rejection (n = 165)
 Age mismatch0.9970.981–1.0130.678
CLAD (n = 133)
 Age mismatch1.0070.99–1.0250.42
Age >0 to ≤10
Mortality (n = 3)a
Biopsy-confirmed rejection (n = 5)
CLAD (n = 1)
Age >10 to ≤20
Mortality (n = 11)
Biopsy-confirmed rejection (n = 23)
CLAD (n = 28)
 Age mismatch1.0411.010–1.0730.01
 ReTx49.72.99–824.540.006
 Aspiration8.1311.553–42.550.013
 Lobar resection2.8471.106–7.3270.03
Age >20 to ≤30
Mortality (n = 24)
Biopsy-confirmed rejection (n = 41)
 Age mismatch0.9580.925–0.9930.018
 CRF0.0970.011–0.8510.035
 IPF0.0860.011–0.6690.019
 CF0.1890.056–0.6410.007
 ReTx0.0920.014–0.5920.012
 HLAII2.0591.094–4.6670.028
 Smoking2.1431.025–4.4780.043
 Contusion0.0710.008–0.5970.015
 ECMO postoperative0.190.041–0.8810.034
CLAD (n = 31)
 Age mismatch1.0240.979–1.0710.3
 CRF6.0161.333–27.150.001
 HLAI + II9.9612.505–39.60.001
 PO2 100%1.0061.002–1.010.006
 Contusion0.0970.011–0.8550.097
Age >30 to ≤40
Mortality (n = 24)
 Age mismatch1.0260.978–1.0760.293
 CF0.3330.124–0.8950.029
 sPAH0.2540.066–0.9720.045
 HLAI3.6311.384–9.5240.009
 Smoking2.4000.979–5.8880.056
 ECMO3.3991.344–8.5980.01
Biopsy-confirmed rejection (n = 45)
CLAD (n = 32)
 Age mismatch0.9780.941–1.0180.28
 IPF3.1531.082–9.1870.035
 ECMO postoperative2.7071.115–6.5690.028
Age >40 to < 50
Mortality (n = 34)
 Age mismatch1.0140.951–1.0820.667
 Clamshell4.1671.429–12.150.009
 Lobar resection4.9221.709–14.80.003
Biopsy-confirmed rejection (n = 51)
 Age mismatch0.9720.931–1.0150.194
 ECMO postoperative7.5611.748–32.710.007
 PAH0.1070.017–0.6670.017
CLAD (n = 41)
 Age mismatch0.9740.927–1.0240.299
VariableMultivariable
Overall dataHR95% CIP-Value
Mortality (n = 96)
 Age mismatch1.0140.993–1.0340.192
 ReTx2.1731.153–4.0960.016
 HLAI1.7951.104–2.9200.018
 Smoking1.5891.054–2.3960.027
 Clamshell2.5031.356–4.6190.003
 IPF1.7481.027–2.9740.04
Biopsy-confirmed rejection (n = 165)
 Age mismatch0.9970.981–1.0130.678
CLAD (n = 133)
 Age mismatch1.0070.99–1.0250.42
Age >0 to ≤10
Mortality (n = 3)a
Biopsy-confirmed rejection (n = 5)
CLAD (n = 1)
Age >10 to ≤20
Mortality (n = 11)
Biopsy-confirmed rejection (n = 23)
CLAD (n = 28)
 Age mismatch1.0411.010–1.0730.01
 ReTx49.72.99–824.540.006
 Aspiration8.1311.553–42.550.013
 Lobar resection2.8471.106–7.3270.03
Age >20 to ≤30
Mortality (n = 24)
Biopsy-confirmed rejection (n = 41)
 Age mismatch0.9580.925–0.9930.018
 CRF0.0970.011–0.8510.035
 IPF0.0860.011–0.6690.019
 CF0.1890.056–0.6410.007
 ReTx0.0920.014–0.5920.012
 HLAII2.0591.094–4.6670.028
 Smoking2.1431.025–4.4780.043
 Contusion0.0710.008–0.5970.015
 ECMO postoperative0.190.041–0.8810.034
CLAD (n = 31)
 Age mismatch1.0240.979–1.0710.3
 CRF6.0161.333–27.150.001
 HLAI + II9.9612.505–39.60.001
 PO2 100%1.0061.002–1.010.006
 Contusion0.0970.011–0.8550.097
Age >30 to ≤40
Mortality (n = 24)
 Age mismatch1.0260.978–1.0760.293
 CF0.3330.124–0.8950.029
 sPAH0.2540.066–0.9720.045
 HLAI3.6311.384–9.5240.009
 Smoking2.4000.979–5.8880.056
 ECMO3.3991.344–8.5980.01
Biopsy-confirmed rejection (n = 45)
CLAD (n = 32)
 Age mismatch0.9780.941–1.0180.28
 IPF3.1531.082–9.1870.035
 ECMO postoperative2.7071.115–6.5690.028
Age >40 to < 50
Mortality (n = 34)
 Age mismatch1.0140.951–1.0820.667
 Clamshell4.1671.429–12.150.009
 Lobar resection4.9221.709–14.80.003
Biopsy-confirmed rejection (n = 51)
 Age mismatch0.9720.931–1.0150.194
 ECMO postoperative7.5611.748–32.710.007
 PAH0.1070.017–0.6670.017
CLAD (n = 41)
 Age mismatch0.9740.927–1.0240.299
a

In case cells are left empty, SPSS could not perform multivariable Cox regression analysis due to a low number of cases.

CF: cystic fibrosis; CI: confidence interval; CLAD: chronic lung allograft dysfunction; CRF: chronic renal failure; ECMO: extracorporeal membrane oxygenation; HLA: human leucocyte antigen; HR: hazard ratio; IPF: idiopathic pulmonary fibrosis; PAH: pulmonary arterial hypertension; ReTx: retransplantation.

Competing risk analysis showed no difference in CLAD (P = 0.166; Fig. 1) and biopsy-confirmed rejection (P = 0.944; Fig. 2) with the competing risk death (P = 0.765 and P = 0.851; respectively).

Competing risk analysis of different age mismatch groups regarding the end point chronic lung allograft dysfunction with the competing risk being death.
Figure 1:

Competing risk analysis of different age mismatch groups regarding the end point chronic lung allograft dysfunction with the competing risk being death.

Competing risk analysis of different age groups regarding the end point biopsy-confirmed rejection with the competing risk being death.
Figure 2:

Competing risk analysis of different age groups regarding the end point biopsy-confirmed rejection with the competing risk being death.

In the overall patient cohort, re-transplant (HR 2.173, CI 1.153–4.096, P = 0–016), HLAI mismatch (HR 1.795, CI 1.104–2.920, P = 0.018), donor smoking history (HR 1.589, CI 1.054–2.396, P = 0.027), clamshell incision (HR 2.503, CI 1.356–4.619, P = 0.003) and idiopathic pulmonary fibrosis (HR 1.748, CI 1.027–2.974, P = 0.04) significantly increase mortality. In the age group >10 to ≤20 years, re-transplant (HR 49.7, CI 2.99–824.54, P = 0.006), aspiration of the donor lung and lobar lung resection (HR 2.847, CI 1.106–7.327, P = 0.03) increase the risk for CLAD. In the group of >20 to ≤30-year-old patients, HLAII mismatch (HR 2.059, CI 1.025, P = 0.028) and donor smoking history (HR 2.143, CI 1.025–4.478, P = 0.043) increase the risk for biopsy-confirmed rejection. Chronic renal failure (HR 6.016, CI 1.333–27.15, P = 0.001) and HLAI + II mismatch (HR 9.961, CI 2.505–39.6, P = 0.001) increase the risk for CLAD in this age group.

In the age group of >30 to ≤40 years, HLAI mismatch (HR 3.631, CI 1.384–9.524, P = 0.009), donor smoking history (HR 2.4, CI 0.979–5.888, P = 0.056) and use of intraoperative extracorporeal membrane oxygenation (ECMO) (HR 3.399, CI 1.344–8.598, P = 0.01) increase mortality while idiopathic pulmonary fibrosis (HR 3.153, CI 1.082–9.187, P = 0.035) and postoperatively extended ECMO (HR 2.707, CI 1.115–6.569, P = 0.028) increase the risk for CLAD.

In >40- to <50-year-old patients, Clamshell incision (HR 4.167, CI 1.429–12.15, P = 0.009) and lobar resection (HR4.922, CI 1.709–14.8, P = 0.003) increase the risk for mortality. The use of postoperative ECMO increases the risk for biopsy-confirmed rejection in this age group (HR 7.561, CI 1.748–32.71, P = 0.007).

DISCUSSION

Shortage of donor lungs for lung transplant candidates aged between 0 and 50 years demands extension of the donor pool. Transplantation of older and age-mismatched lung allografts provides 1 option. The usage of older donor lungs for transplantation has been a controversial topic in the last 2 decades.

In this retrospective study, we analysed whether donor–recipient age mismatch affects long-term outcomes as mortality, mortality conditioned to hospital discharge, freedom from biopsy-confirmed rejection and freedom from CLAD. For none of the mentioned end points, donor–recipient age mismatch appeared to be a risk factor, according to multivariable Cox regression analysis including several pre- and intraoperative factors. The subgroup analysis showed that age mismatch increases the hazard for CLAD in patients being >10 to ≤20 years. However, the hazard ratio of 1.041 is very low. Furthermore, competing risk analysis does not indicate a difference caused by age mismatch regarding CLAD and biopsy-confirmed rejection with the competing risk being death.

Fischer et al. [7] analysed donor lungs ≥50 years, compared it to donor lungs < 50 years and asserted that short- and long-term survival of older donor lungs was like younger donor lungs if lung grafts were carefully selected. De Perrot et al. [8] set the cut-off age to group younger and older donors at 60 years. They found out that lungs from older donors result in a decreased long-term survival, primarily attributable to an increased incidence of bronchiolitis obliterans syndrome.

Hayes et al. conducted a retrospective cohort study using propensity score matching including 23 704 lung transplant recipients from the United Network for Organ Sharing thoracic database. The recipients aged either ≥60 and <60 or ≥65 and <65 and their respective donors were either ≥50 years or <50 years old. The results showed that older donor age did not affect overall survival in older recipients, but the long-term survival of younger recipients who received organs from older donors was limited [9]. In contrast, the Eurotransplant International Foundation did not find an increased 3-year mortality when lung grafts from donors ≥55 years were transplanted, regardless the recipients age [10].

Sommer et al. analysed lung transplantation from donors ≥70 years and found it to be safe. FEV1 12 months after transplantation was decreased in patients who received lungs older than 70 years, but only in patients who primarily suffered from idiopathic pulmonary fibrosis and not in patients whose underlying disease was lung emphysema [11].

Hecker et al. also investigated donors ≥60 and ≥ 70 years and observed no difference in short- and long-term outcome. When donor age is high, Hecker et al. [12] recommended a strict fulfilment of other selection criteria, e.g. smoking status or ventilation time.

Renard et al. advocate the usage of lungs older than 65 years for transplantation. They also characterized their donors older than 65 years and showed that donors were of shorter stature, smoked less, had fewer bronchoscopic abnormalities, and less chest opacity [13].

In an analysis of 11 835 lung transplantation from the United Network for Organ Sharing database, Mulvihill et al. [14] concluded that recipients of organs from donors older than 50 years had a decreased survival.

The publications cited above reject but also support transplantation of ‘older’ lungs. However, in 2 aspects they differed from our work. First, patient selection in our work was different from the data analysed by the authors cited above. We investigated only recipients aged between 0 and 50 years. Second, we focused our analysis on age differences and not on an older donor populations per se. The median donor age in our high-mismatch group was 50 (41–56) years, i.e. most of these donors were not old. Only 10 out of 409 donors were older than 70 years.

Limitations

Our study should be interpreted bearing in mind its limitations, which include the single-centre setting, the retrospective design and the limited number of patients.

CONCLUSION

Donor–recipient age mismatch does not affect overall patient mortality, mortality conditioned to hospital discharge, incidence of biopsy-confirmed rejection and CLAD. Therefore, age mismatch alone is not a limiting factor regarding the acceptance of donor lungs if general organ selection criteria are fulfilled.

SUPPLEMENTARY MATERIAL

Supplementary material is available at EJCTS online.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflict of interest: Gregor Warnecke has received congress fees and travel grants from Biotest AG and Transmedics, outside the submitted work. Fabio Ius has received congress fees from Biotest AG, outside the submitted work. The other authors report conflict of interest.

DATA AVAILABILITY

The data underlying this article will be shared on reasonable request to the corresponding author.

Author contributions

Maximilian Franz: Conceptualization; Formal analysis; Investigation; Methodology; Writing—original draft. Khalil Aburahma: Conceptualization; Formal analysis; Methodology; Visualization; Writing—original draft. Murat Avsar: Data curation; Formal analysis; Methodology. Dietmar Boethig: Data curation; Formal analysis; Supervision. Mark Greer: Conceptualization; Data curation; Investigation; Writing—review & editing. Hani Alhadidi: Supervision; Validation; Writing—review & editing. Wiebke Sommer: Data curation; Formal analysis; Validation; Writing—review & editing. Igor Tudorache: Validation; Visualization; Writing—review & editing. Gregor Warnecke: Supervision; Validation; Writing—review & editing. Axel Haverich: Conceptualization; Supervision; Writing—review & editing. Fabio Ius: Conceptualization; Data curation; Investigation; Supervision; Validation; Writing—review & editing. Jawad Salman: Conceptualization; Data curation; Formal analysis; Investigation; Supervision; Writing—original draft.

Reviewer information

European Journal of Cardio-Thoracic Surgery thanks Francoise Le Pimpec-Barthes, Suresh Keshavamurthy, Bartosz Kubisa and the other, anonymous reviewer(s) for their contribution to the peer review process of this article.

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ABBREVIATIONS

    ABBREVIATIONS
     
  • CI

    Confidence interval

  •  
  • CLAD

    Chronic lung allograft dysfunction

  •  
  • ECMO

    Extracorporeal membrane oxygenation

  •  
  • FEV1

    Forced expiratory volume in 1 s

  •  
  • HLA

    Human leukocyte antigen

  •  
  • HR

    Hazard ratio

Author notes

Maximilian Franz and Khalil Aburahma shared the first authorship.

Fabio Ius and Jawad Salman shared the senior authorship.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights)

Supplementary data