 |
Featured Articles
|
|
|
 |
|
|
|
|
|
|
|
Current Articles
|
|
|
|
|
|
|
|
|
|
|
|
News Articles Archive
|
|
|
|
|
|
 |
|
|
|
| Oscar The Cat Knows When People Are Going To Die |
11439 Views |
| posted on Saturday, July 28, 2007 |
|
|
CAT PLAYS FURRY GRIM REAPER AT NURSING HOME
OSCAR HAS PREDICTED 25 DEATHS BY CURLING UP NEXT TO PATIENT IN FINAL HOURS
MSNBC
July 26, 2007
Original Link
PROVIDENCE, R.I. - Oscar the cat seems to have an uncanny knack for predicting when nursing home patients are going to die, by curling up next to them during their final hours.
His accuracy, observed in 25 cases, has led the staff to call family members once he has chosen someone. It usually means they have less than four hours to live.
“He doesn’t make too many mistakes. He seems to understand when patients are about to die,” said Dr. David Dosa in an interview. He describes the phenomenon in a poignant essay in Thursday’s issue of the New England Journal of Medicine.
“Many family members take some solace from it. They appreciate the companionship that the cat provides for their dying loved one,” said Dosa, a geriatrician and assistant professor of medicine at Brown University.
The 2-year-old feline was adopted as a kitten and grew up in a third-floor dementia unit at the Steere House Nursing and Rehabilitation Center. The facility treats people with Alzheimer’s, Parkinson’s disease and other illnesses.
After about six months, the staff noticed Oscar would make his own rounds, just like the doctors and nurses. He’d sniff and observe patients, then sit beside people who would wind up dying in a few hours.
Aloof and businesslike feline
Dosa said Oscar seems to take his work seriously and is generally aloof. “This is not a cat that’s friendly to people,” he said.
Oscar is better at predicting death than the people who work there, said Dr. Joan Teno of Brown University, who treats patients at the nursing home and is an expert on care for the terminally ill.
She was convinced of Oscar’s talent when he made his 13th correct call. While observing one patient, Teno said she noticed the woman wasn’t eating, was breathing with difficulty and that her legs had a bluish tinge, signs that often mean death is near.
Oscar wouldn’t stay inside the room though, so Teno thought his streak was broken. Instead, it turned out the doctor’s prediction was roughly 10 hours too early. Sure enough, during the patient’s final two hours, nurses told Teno that Oscar joined the woman at her bedside.
Furry harbinger of death
Doctors say most of the people who get a visit from the sweet-faced, gray-and-white cat are so ill they probably don’t know he’s there, so patients aren’t aware he’s a harbinger of death. Most families are grateful for the advanced warning, although one wanted Oscar out of the room while a family member died. When Oscar is put outside, he paces and meows his displeasure.
No one’s certain if Oscar’s behavior is scientifically significant or points to a cause. Teno wonders if the cat notices telltale scents or reads something into the behavior of the nurses who raised him.
Nicholas Dodman, who directs an animal behavioral clinic at the Tufts University Cummings School of Veterinary Medicine and has read Dosa’s article, said the only way to know is to carefully document how Oscar divides his time between the living and dying.
...........
NHNE Animal Research & Intelligence News Stories
|
|
 |
|
|
|
|
|
|
|
............
In accordance with Title 17 U.S.C. Section 107, this material is distributed without profit to those who have expressed a prior interest in receiving the included information for research and educational purposes. Unless the information in question has been written and/or published by NHNE, NHNE has no affiliation whatsoever with the originator of this article. NHNE is, therefore, not endorsed or sponsored by the originator, nor does NHNE necessarily endorse, promote, or agree with the content. If you wish to use copyrighted material from this site for purposes of your own that go beyond 'fair use', you must obtain permission from the copyright owner.
|
|
|
|