The Association of Weekly pre-Hemodialysis Systolic Blood Pressure and Following Week Mortality

Autor: Jeroen P. Kooman, Len A. Usvyat, Dugan W. Maddux, Peter Kotanko, Frank M. van der Sande, Yuedong Wang, Franklin W. Maddux, Danqing Xu
Přispěvatelé: Interne Geneeskunde, MUMC+: MA Nefrologie (9), RS: NUTRIM - R3 - Respiratory & Age-related Health
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Adult
Male
lcsh:Diseases of the circulatory (Cardiovascular) system
medicine.medical_specialty
Time Factors
Demographics
medicine.medical_treatment
030232 urology & nephrology
Blood Pressure
030204 cardiovascular system & hematology
lcsh:RC870-923
Risk Assessment
Pre-dialysis systolic blood pressure
03 medical and health sciences
0302 clinical medicine
Renal Dialysis
Internal medicine
Epidemiology
DIALYSIS
lcsh:Dermatology
medicine
Humans
EPIDEMIOLOGY
Mortality
Dialysis
Aged
Retrospective Studies
OUTCOMES
business.industry
DEATH
Retrospective cohort study
General Medicine
Odds ratio
Middle Aged
lcsh:RL1-803
lcsh:Diseases of the genitourinary system. Urology
VARIABILITY
Blood pressure
lcsh:RC666-701
Nephrology
Hemodialysis
Linear Models
Female
WEIGHT
Cardiology and Cardiovascular Medicine
business
Zdroj: Kidney & Blood Pressure Research, 43(1), 88-97. Karger
Kidney & Blood Pressure Research, Vol 43, Iss 1, Pp 88-97 (2018)
ISSN: 1423-0143
1420-4096
Popis: Background/Aims: Few studies examine the impact of systolic blood pressure (SBP) on mortality in the incident hemodialysis (HD) period, and throughout the first HD year. This large retrospective observational study analyzes the impact of “current” and cumulative low preSBP Methods: Weekly mean preSBP for HD weeks 1 to 51 was categorized into L or high preSBP>=110 mmHg (H) for each patient. A generalized linear model (GLM) was used to compute the probability of death in the following week. The model includes age, gender, race and three preSBP-related parameters: (a) percent of prior weeks with L preSBP; (b) percent of prior weeks with switching between L to H; (c) “current” week’s preSBP as a binary variable. Separate models were constructed that include demographics and BP-related parameters (a), (b), and (c) separately. Results: In a model combining (a), (b), and (c) above, “current” week L preSBP is associated with increased odds ratio for following week mortality throughout the first HD year. The percent of prior week’s L and more switching between L and H are less significantly associated with short-term mortality. In models including (a), (b), and (c) separately, “current” L preSBP is associated with higher mortality. Conclusion: This study confirms an association of L preSBP with increased short-term mortality which is maintained over the first HD year. Percent of L preSBP in prior weeks, switching between L and H, and “current” week L are all associated with short-term mortality risk, but “current” week L preSBP is most significant.
Databáze: OpenAIRE
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