A total of 111 living donors and recipients were evaluated, with recipient demographic data presented in Table 1. Ninety (81%) patients had GF, while 11 (10%) had SGF and 10 (9%) had DGF. The average age of recipients was 50 years old and differed significantly by graft function, with the oldest recipients experiencing DGF more frequently (p=0.027). Males experienced poor graft function more often than females (p=0.018). Statistical differences were also found in height (p=0.008), weight (p=0.008), BMI (p=0.019), and body surface area (p=0.004) by graft function, showing recipients with poor graft function (DGF or SGF) having the larger body measurements. Despite these body metrics there were no significant differences when comparing donor to recipient size ratios that would indicate size mismatch (Table 2).The three most common causes of renal failure were polycystic kidney disease (n=21), diabetes (n=18) and glomerulonephritis / glomerulosclerosis (n=25), accounting for 57.6% of primary diagnoses. Seven patients had an unknown cause of renal failure. There were no observed differences in primary diagnosis by graft function. Of the 10 recipients of previous transplants, none had worse graft function compared to the first time transplant recipients. Most recipients (73%) were dialysis dependent prior to transplant, with no difference in the numbers undergoing peritoneal dialysis (n=41) vs. hemodialysis (n=40). Dialysis dependence (peritoneal and hemodialysis combined) was not associated with DGF, however, patients dependent on hemodialysis experienced higher rates of DGF (90%) compared to those with GF or SGF (31% and 27%, p<0.001). Pre-operative creatinine levels were comparable among the three groups, as was recipient blood type, presence of pre-formed donor specific antibodies,presence of HLA mismatch and PRA status.

Notably, minimum CVP ≥12 mmHg was associated with poor graft function (DGF/SGF/GF= 67%/56%/24%, p=0.009) (Table 2). However, an incident of intra-operative hypotension was not statistically associated with graft function. There were no statistical differences in cold ischemic time, warm ischemic time, estimated blood loss or intra-operative fluid volumes received. Additionally, the use of furosemide, mannitol and albumin did not influence graft function.

The average donor age was 44, and groups were similar in age based on graft function (Table 3).Fifty eight donors (52.7%) were female, while 52 (47.3%) were male.

Donor sex did not appear to influence recipient graft function, nor did gender mismatch. Most donors (n=62) were unrelated and the donor’s relationship to the recipient was not associated with graft function. Donors with grafts resulting in poor function were taller (p=0.03) and weighed more (p=0.02). However, donor BMI and body surface area were not related to graft function. Pre-operative creatinine of the donor had no bearing on graft function, nor did the presence of donor hypertension or blood type. There was no statistical association between donor estimated blood loss, total intra-operative fluid volume received, administration of albumin or furosemide. No association was found between donor intra-operative hypotension and graft function (Table 2).

Regarding 1 year recipient outcomes (Table 4, Table 5, Table 6 and Figure 1), 70%, 82% and 83% of DGF, SGF and GF patients respectively, had 1 year worth of follow up. Nine percent of GF patients experienced rejection, while 30% of DGF and 36% of SGF patients had rejection (p=0.012). Moreover, type of rejection differed by graft function with only DGF patients experiencing acute antibody mediated rejection (n=3), while acute cellular rejection was more common in the GF cohort (n=8, p=0.006). One year interstitial fibrosis, tubular atrophy, Chronic Allograft Damage Index and Banff chronic allograft nephropathy scores on 1-year protocol biopsieswere similar. There was one graft loss within 1 year secondary to death (GF cohort), but this patient died with a functioning graft. Kidney function at 1 year based on creatinine levels was comparable.

Comparison of creatinine trend over time between the three cohorts. SE(standard error).

This single center retrospective analysis of 111 living kidney transplants investigated the influence of recipient and donor intra-operative hemodynamics on first week post-transplant graft function. To our knowledge this is the first study to look at both recipient and donor intra-operative variables and their impact on DGF. The incidence of DGF in our study was comparable to rates reported in the literature for living kidney transplants, being at approximately 4-16% 121. This is lower than the reported 20-40% rate of DGF from deceased donor kidneys 72223. We included a third cohort in our study, SGF, as a means to identify patients that did not adhere to the classic definition of DGF, but also did not have ideal graft function. SGF is a known entity in the literature with variable definitions, but the unifying definition was that they did not have optimal graft function or outcomes 2022. We defined SGF as a serum creatinine >2.5 mg/dl on post-op day 7 to align this with the definition of need for dialysis within 7 days for DGF 820.

Contrary to previous work in this field we determined a lower post-perfusion central venous pressure appears to be favorable to reduce the incidence of DGF. This may suggest a contributory role from venous hypertension resulting in renal congestion with resultant reduced glomerular filtration rate, local hypoxia and a pro-inflammatory state 24. Othman et al. 13randomized 40 living renal transplants to either a normal saline constant infusion rate of 12 ml/kg/hr, or a target central venous pressure (CVPT) of 15 mmHg. Ischemic times were similar, but CVPs were significantly different. They noted an earlier onset of urine production in the CVPT group (77±35 s) vs. the constant infusion rate group (241±66 s, p<0.001), and a greater volume of urine production in the CVPT group (1540±339 ml vs 852±170 ml, p<0.001) and concluded that a target CVP of 15 mmHg ensures early graft function. Additionally, Carlier et al. 25 retrospectively reviewed 120 comparable cadaveric renal transplants by stratifying recipients into high and low pulmonary artery (>20 mmHg vs ≤20 mmHg) and diastolic pulmonary artery (>15 mmHg vs ≤15 mmHg) pressure groups. The high and low pulmonary artery pressure groups, at clamp release correlated with high and low mean CVPs of 14.2 mmHg and 12 mmHg respectively. The incidence of acute tubular necrosis was 6% versus 36% in the high and low pressure groups respectively. From this one could conclude that a CVP close to 14 mmHg is ideal. However, in agreement with our findings, there are multiple papers available that are not consistent with these recommendations and suggest that CVP either has little effect on outcomes, or that a lower pressure is favorable. For example, Aulakh et al. 17performed a retrospective review of 100 living renal transplants divided into two groups based on CVP <12 mmHg or >12 mmHg, and compared the trends in creatinine over 5 days. They ultimately noted no difference in the rate of creatinine downtrend. Another study noted that on multivariate analysis, higher CVP at patient awakening had the strongest association with immediate graft function, however, the mean CVP correlating with immediate graft function was only 9.71 mmHg 14. De Gasperi et al. 15 looked at the correlation between CVP and intra-operative fluid volumes and long term outcomes. They found that a CVP of 7-9 mmHg, and fluid volumes of 2400±1000 ml resulted in good functional recovery in 94% of patients, and the six month graft survival rate was 97.7%, with donor age being the only predictor of graft failure. We acknowledge that from the literature it is clear that there are various recommendations for CVP. In addition, the CVP may be influenced by the interplay of multiple complex factors to include baseline cardiac function, pre-operative volume status, proximity of surgery to last dialysis session, response to anesthesia and the anesthesiologists approach to managing intra-operative hemodynamics with fluids and vasopressor medications. Our study suggests a CVP below 12mmHg may reduce DGF.

While we found no association with DGF and intra-operative blood pressure, it should also be recognized that there is no consensus definition for intra-operative hypotension 26, which, if can be defined may lead to more accurate interpretations and results of such studies. Multiple studies have attempted to look for a relationship between DGF and intra-operative hypotension. For example, Sandid et al. 27 compared mean intra-operative SBP and DPB between immediate and SGF cohorts. Average blood pressures between the groups were 103/52 mmHg and 94/45 mmHg for immediate and SGF respectively. On multivariate logistic regression analysis, it was determined that intra-operative hypotension was an independent risk factor for SGF. Furthermore, Snoejis et al. 19 showed that an average intra-operative SBP below 110 mmHg increased the odds of primary non-function by 2.6. Perhaps, a validated definition of intra-operative hypotension would have allowed us to more accurately detect differences in graft function.

Our findings that fluid volume, use of Lasix, albumin or mannitol has no effect are consistent with the multiple differing results observed in the literature. There is general agreement that preventing intra-vascular depletion is pertinent. However, there is no agreed upon volume, as many factors come into play such as, but not limited to, length of case, recipient body mass, cardiovascular co-morbidities, type of fluid, and fluid adjuncts. Additionally, volume is often described in terms of CVP, which is not always an accurate surrogate for volume status. It is interesting to note that, although not statistically significant, the poor function groups received the lowest amount of intra-operative fluid despite having the higher CVP measurements. In our retrospective study the cause for this is difficult to qualify as multiple factors such as cardiac function, pre-operative volume overload and anesthesia approach may be at play. Perhaps the observation that slightly more patients in the DGF group received albumin and thus had less third spacing may have had an impact.

In our study 13.5% of patients experienced acute rejection, and there was a statistical association with poor function, which is consistent with a previously published meta-analysis 3. Despite multiple papers reporting DGF as a risk factor for graft loss, patient death and poor long-term function 348, in our current study, we found no such association. Additionally, we found no evidence on 1 year protocol biopsies of chronic allograft nephropathy, which is consistent with our findings of equivalent 1 year renal function based on creatinine levels. This is despite an association between DGF and chronic allograft nephropathy 5. In our study, the lack of association with these outcomes is probably related to the lower incidence of DGF than reported in the literature and follow up of only 1 year, which may have under-powered our study to detect these associations. However, even with the lower incidence we were able to find a significant correlation between both DGF and SGF and episodes of acute rejection when compared to the patients with good renal function.

Our study has certain limitations. First, this was a single center retrospective analysis, and perhaps not representative of the more inclusive experience among transplant centers in the US. Second, there is no protocol in place at our institution for frequency and timing of hemodynamic evaluation, thus standardized measuring of parameters were not available. Third, we had very few cases of DGF, which potentially hindered our ability to detect all risk factors and their strength of association. Also, we did not have baseline resting pulmonary artery and right heart pressures on all patients, nor could we control for the anesthesiologist s approach to hemodynamic management during the case.Lastly, we only looked at outcomes at the 1 year time point which may not truly reflect the long term adverse effects of DGF.