Development of a risk prediction model for infection-related mortality in patients undergoing peritoneal dialysis

Autor: Kazuhiko Tsuruya, Hiroaki Tsujikawa, Shigeru Tanaka, Toshiaki Nakano, Yuta Matsukuma, Kumiko Torisu, Takanari Kitazono, Hidetoshi Kanai
Rok vydání: 2019
Předmět:
Male
Epidemiology
medicine.medical_treatment
030232 urology & nephrology
Cardiovascular Medicine
030204 cardiovascular system & hematology
Biochemistry
Cohort Studies
chemistry.chemical_compound
Mathematical and Statistical Techniques
Endocrinology
0302 clinical medicine
Blood serum
Japan
Risk Factors
Medicine and Health Sciences
Medicine
Registries
Multidisciplinary
Incidence
Incidence (epidemiology)
Statistics
Middle Aged
Lipids
Cholesterol
Nephrology
Cardiovascular Diseases
Creatinine
Physical Sciences
Cohort
Female
Peritoneal Dialysis
Research Article
Cohort study
medicine.medical_specialty
Endocrine Disorders
Science
Research and Analysis Methods
Peritoneal dialysis
03 medical and health sciences
Albumins
Internal medicine
Medical Dialysis
Diabetes Mellitus
Humans
Statistical Methods
Serum Albumin
Aged
Proportional Hazards Models
Retrospective Studies
business.industry
Proportional hazards model
Biology and Life Sciences
Proteins
Retrospective cohort study
chemistry
Metabolic Disorders
Medical Risk Factors
business
Mathematics
Biomarkers
Forecasting
Zdroj: PLoS ONE
PLoS ONE, Vol 14, Iss 3, p e0213922 (2019)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0213922
Popis: BackgroundAssessment of infection-related mortality remains inadequate in patients undergoing peritoneal dialysis. This study was performed to develop a risk model for predicting the 2-year infection-related mortality risk in patients undergoing peritoneal dialysis.MethodsThe study cohort comprised 606 patients who started and continued peritoneal dialysis for 90 at least days and was drawn from the Fukuoka Peritoneal Dialysis Database Registry Study in Japan. The patients were registered from 1 January 2006 to 31 December 2016 and followed up until 31 December 2017. To generate a prediction rule, the score for each variable was weighted by the regression coefficients calculated using a Cox proportional hazard model adjusted by risk factors for infection-related mortality, including patient characteristics, comorbidities, and laboratory data.ResultsDuring the follow-up period (median, 2.2 years), 138 patients died; 58 of them of infectious disease. The final model for infection-related mortality comprises six factors: age, sex, serum albumin, serum creatinine, total cholesterol, and weekly renal Kt/V. The incidence of infection-related mortality increased linearly with increasing total risk score (P for trend ConclusionIn this study, we developed a new model using clinical measures for predicting infection-related mortality in patients undergoing peritoneal dialysis.
Databáze: OpenAIRE
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