Why so many kidneys are going to waste.

Health and medicine explained.
Oct. 10 2007 2:24 PM

Kidney Picking

Why so many of the valuable organs are going to waste.

Organ donation. Click image to expand.
Why are so many donated kidneys going untransplanted?

Human kidneys are among the world's rarest commodities, and the process for allocating them, here in the United States at least, is generally considered to be straightforward and highly efficient. But that's not exactly true. Every year since 1998, more than 1,000 kidneys have been thrown into America's trash. In 2005, for example, 14.1 percent of recovered kidneys went unused, a disconcerting amount for a scarce commodity on which life depends. It's especially troubling when you stop to consider that, in any given year, the number of patients who are added to the transplant waiting list is roughly twice as large as the number of kidneys that are actually transplanted. Last year, the Organ Procurement and Transplantation Network—established by Congress to oversee the nation's transplant systems—expressed concern that viable, potentially life-saving kidneys were too frequently being wasted.

Why are so many kidneys being thrown out? Professor Juanjuan Zhang, a 28-year-old wunderkind on the faculty of MIT's Sloan School of Management, is about to release a study suggesting that the problem lies not in technology, or medical expertise, or even bureaucratic red tape, but an economic theory known as "herding." This theory holds that human beings, from a very early age, learn that the best commodities are the ones that everyone wants. This is why we are persuaded by ads boasting claims like "America's Favorite Peanut Butter" or the "Most Popular Brand of Air Conditioner in the World." Either by evolution or social learning, our brains are partial to this line of thought: If someone else doesn't want it, then neither do I, because it can't be that good. Often, this serves us well, but Zhang claims that it is backfiring in the world of kidney transplants.

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In her study, Zhang analyzed the fate of 275 donated kidneys from a major transplant center in Texas. She paints the following picture of herding run amock. Candidates who have higher priority for a kidney, because they have been on queue for a long time, can afford to be picky and tell their doctors to wait for a high-quality specimen. Such a candidate may want a "young" kidney—for example, one from a teenager who recently died from a head trauma—because these kidneys typically last longer. For this, or any number of other reasons, another kidney is offered and then rejected.

Here's where it gets interesting. The next candidate on the list, knowing that he or she is being offered a "rejected kidney," also says no. The patient and his or her doctor assume that if someone else turned it down, the organ can't be that good. What's more, the candidate knows that he or she is near the top of the queue and, soon enough, will get top pick. The more times a kidney is rejected, says Zhang, the more likely a patient or doctor is to infer that it is a bad kidney. The problem is that while all of this is going on, time is ticking away, and kidneys go bad. Indeed, a kidney can survive on ice only for roughly 48 hours once it has been "harvested."

Of course, it is impossible to know for certain why doctors turn down a given kidney, and the vast majority of the time, the doctors involved can cite legitimate medical reasons. Nonetheless, Zhang argues that patients and doctors—knowingly or not—put far too much stock in the knowledge that a given kidney has been repeatedly rejected. What's her proof? Her research revealed that a typical kidney is accepted after 33 rejections. Zhang then built a statistical model, in which she assigned numeric values to all of the considerations that go into the kidney evaluation process, and determined that knowledge of "previous rejections" was a very significant consideration. Indeed, she concluded that if you removed this information from the process, the average kidney would be accepted after just three rejections.

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