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conferenceseries
.com
Volume 4
Journal of Community & Public Health Nursing
Nursing Summit 2018
November 08-09, 2018
November 08-09, 2018 Sydney, Australia
25
th
World Congress on
Nursing & Healthcare
Survival prognosis of non-cancer patients at the end-of-stages within 1-year
Jiwon Lee
1
, Whan Seok Choi
2
, Younghye Park
2
, Jungsook Jang
2
, Kyounjoo Lim
2
, Jiyeon Choi
2
, Youngyi Cho
2
, Clara Lee
2
, Hanul Lee
1
, Eunjeong Nam
1
and Jong-Eun Lee
1
1
Catholic University of Korea, South Korea
2
Seoul St. Mary Hospital, South Korea
T
he mortality rate from non-cancer is increasing with increasing population aging. Generally, it is difficult to accurately
identify the clinical course of non-cancer chronic diseases and to predict their prognoses. If the length of survival in
patients with chronic diseases can be predicted, healthcare providers can perform flexible interventions for patients and their
families according to clinical stages. Therefore, this study aimed to identify non-cancer patients with a survival prognosis of
1-year by using predictive survival analysis. We conducted a prospective cohort study of 106 patients at home with non-cancer
(e.g. cerebrovascular, cardiovascular, musculoskeletal, neurological diseases and dementia) who were receiving home care
from Seoul St. Mary’s Hospital, had Palliative Performance Scale (PPS) scores of less than 40% in their medical records. Upon
follow-up with the 1-year survival of patients, there were 35 deceased patients (33.0%) and 69 survived patients (67.0%). The
average length of survival of them was 306 days. Among them, 76 were females (71.7%) and the mean age was 80.3 years.
They had an average of 1.5 comorbidities. The results of analyzing the Cox Proportional Hazard Model showed that the age
(Hazard Ratio: 1.041), number of comorbidities (Hazard Ratio: 1.522), duration of required nursing (Hazard Ratio: 9.445),
waist circumference (Hazard Ratio: 0.954) and PPS (Hazard Ratio: 0.530) were the significant prognostic factors that increased
the risk of mortality. The results of the present study can be used as baseline data for predicting the length of survival and
prognosis of home-based patients with non-cancer chronic diseases.
88ljwon@naver.comJ Comm Pub Health Nurs 2018, Volume 4
DOI: 10.4172/2471-9846-C3-009