Geographic Variability in Cold Ischemia Time: Kidney and Liver Transplants in the United States, 2003-2010.

Koizumi, Naoru; Melancon, Keith; DasGupta, Debasree

doi:10.1097/00007890-201407151-02892

Cited by 6 publications

(17 citation statements)

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“…As a result, our mean cold ischemia times for all groups were <20 hours and for DCD groups were <15.5 hours, which is lower than other authors have documented . That being said, a recent analysis of nation kidney cold ischemia times concluded from 2003 to 2011, the average cold ischemia time was 17 hours, which is comparable to our results . Given that DCD status, and not KDPI, was found to be the driving factor in the development of DGF post‐transplant, our findings support this practice.…”

Section: Discussionsupporting

confidence: 84%

“…10,11 That being said, a recent analysis of nation kidney cold ischemia times concluded from 2003 to 2011, the average cold ischemia time was 17 hours, which is comparable to our results. 12 Given that DCD status, and not KDPI, was found to be the driving factor in the development of DGF post-transplant, our findings support this practice. The relationship between cold ischemia time and graft survival in high-KDPI kidneys has not been studied.…”

Section: F I G U R E 2 Patient Survival: Thissupporting

confidence: 67%

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The impact of kidney donor profile index on delayed graft function and transplant outcomes: A single‐center analysis

Zens

Danobeitia

Leverson

et al. 2018

Clinical Transplantation

106

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The KDPI system is an accurate predictor of donor contributions to transplant outcomes. Recipients of DBD kidneys experience an increase in the rate of DGF as their KDPI increases. DCD kidneys have higher DGF rates than their DBD counterparts with similar KDPIs. Patients with documented post-transplant DGF had between 3- and 5-year shorter graft half-lives when compared to recipients that did not experience DGF. Initiatives to reduce the rate of DGF could provide a significant impact on graft survival and result in a reduction in the number of patients requiring retransplant.

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Section: Discussionsupporting

confidence: 84%

Section: F I G U R E 2 Patient Survival: Thissupporting

confidence: 67%

The impact of kidney donor profile index on delayed graft function and transplant outcomes: A single‐center analysis

Zens

Danobeitia

Leverson

et al. 2018

Clinical Transplantation

106

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“…Drone organ transportation has the potential to decrease CITs thus widening the donor organ pool and access to transplantation. Because organ quality is higher when CIT is low [13] , and because higher quality organs result in more life-years for the recipient, lower CITs resulting from UAS transport could add life-years to transplant recipients [14] . Patients who receive a higher quality transplant are less likely to require a re-transplant, allowing another patient on the waiting list to undergo transplantation.…”

Section: Discussionmentioning

confidence: 99%

“…Were an organ in New York, it could arrive in Baltimore (192 miles) in 33 minutes. For comparison, the national average CIT is 16–18 hours, including local and national sharing practices [14] – [16] Difficult-to-reach areas of the country, such as southern Florida have markedly longer average CITs. In some regions CITs routinely exceed 30 hours for kidneys [14] .…”

Section: Discussionmentioning

confidence: 99%

An Initial Investigation of Unmanned Aircraft Systems (UAS) and Real-Time Organ Status Measurement for Transporting Human Organs

Scalea

Restaino²,

Scassero

et al. 2018

IEEE J. Transl. Eng. Health Med.

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Organ transportation has yet to be substantially innovated. If organs could be moved by drone, instead of ill-timed commercial aircraft or expensive charter flights, lifesaving organs could be transplanted more quickly. A modified, six-rotor UAS was used to model situations relevant to organ transportation. To monitor the organ, we developed novel technologies that provided the real-time organ status using a wireless biosensor combined with an organ global positioning system. Fourteen drone organ missions were performed. Temperatures remained stable and low (2.5 °C). Pressure changes (0.37–0.86 kPa) correlated with increased altitude. Drone travel was associated with less vibration (<0.5 G) than was observed with fixed-wing flight (>2.0 G). Peak velocity was 67.6 km/h (42 m/h). Biopsies of the kidney taken prior to and after organ shipment revealed no damage resulting from drone travel. The longest flight was 3.0 miles, modeling an organ flight between two inner city hospitals. Organ transportation may be an ideal use-case for drones. With the development of faster, larger drones, long-distance drone organ shipment may result in substantially reduced cold ischemia times, subsequently improved organ quality, and thousands of lives saved.

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“… 2 Placement efficiency is difficult to assess in kidney allocation because of the lack of organ transit data. 3 , 4 Hence, understanding the association between organ transit time and CIT is important.…”

Section: Introductionmentioning

confidence: 99%

Association of Transit Time With Cold Ischemic Time in Kidney Transplantation

Placona¹,

Humphries²,

Curran³

et al. 2021

JAMA Netw Open

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Geographic Variability in Cold Ischemia Time: Kidney and Liver Transplants in the United States, 2003-2010.

Cited by 6 publications

References 0 publications

The impact of kidney donor profile index on delayed graft function and transplant outcomes: A single‐center analysis

The impact of kidney donor profile index on delayed graft function and transplant outcomes: A single‐center analysis

An Initial Investigation of Unmanned Aircraft Systems (UAS) and Real-Time Organ Status Measurement for Transporting Human Organs

Association of Transit Time With Cold Ischemic Time in Kidney Transplantation

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