Association between Creatinine Trajectories and All-Cause Mortality in Elderly Patients after Cardiac Surgery: A Retrospective Cohort Study Based on MIMIC-IV
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Published on: August 9, 2013
Yujie Fan1, Zefeng Yang1, Jiayao Wei1
1Department of Cardiothoracic Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Insights
Monitoring serum creatinine trajectories after cardiac surgery offers prognostic value. A persistently increasing creatinine level independently predicts higher mortality risk in elderly patients compared to a stable trend.
Area of Science:
- Nephrology
- Cardiology
- Geriatric Medicine
Background:
- Conventional serum creatinine monitoring at single time points inadequately reflects disease progression.
- Predicting postoperative outcomes in elderly cardiac surgery patients requires improved prognostic markers.
Purpose of the Study:
- To evaluate the prognostic significance of distinct serum creatinine trajectories.
- To assess the association of these trajectories with all-cause mortality in elderly cardiac surgery patients.
Main Methods:
- Retrospective cohort study utilizing the MIMIC-IV database.
- Identification of three serum creatinine trajectories: low-stable, persistent-increase, and transient-increase.
- Kaplan-Meier analysis and multivariable Cox proportional hazards models for survival outcomes.
Main Results:
- Analysis included 5145 elderly patients undergoing cardiac surgery.
- The persistent-increase trajectory (Class 2) showed the highest in-hospital and 1-year mortality.
- The transient-increase trajectory (Class 3) also had higher mortality than the low-stable trajectory (Class 1).
Conclusions:
- Distinct serum creatinine trajectory patterns provide independent prognostic information.
- A persistently increasing creatinine trajectory is significantly associated with increased mortality post-cardiac surgery.
- Trajectory analysis enhances prediction of postoperative outcomes in elderly cardiac surgery patients.
Purpose:
Conventional monitoring of serum creatinine at isolated time points is suboptimal for reflecting disease progression. We therefore evaluated the prognostic value of distinct serum creatinine trajectories for predicting all-cause mortality in this patient population.
Methods:
We conducted a retrospective cohort study of elderly patients undergoing cardiac surgery, using data from the Medical Information Mart for Intensive Care database (MIMIC-IV). Kaplan-Meier analysis compared survival outcomes among the identified classes. Multivariable logistic and Cox proportional hazards models determined the independent associations of these trajectories with in-hospital and 1-year all-cause mortality.
Results:
A total of 5145 patients undergoing cardiac surgery were included in the analysis. Three distinct creatinine trajectories were identified: low-stable (Class 1), persistent-increase (Class 2), and transient-increase (Class 3). Class 1 had the lowest in-hospital and 1-year mortality rates. Using Class 1 as the reference, Class 2 demonstrated the highest mortality risk, followed by Class 3.
Conclusion:
Distinct creatinine trajectory patterns conferred independent prognostic value for postoperative outcomes in elderly patients after cardiac surgery. A persistently high trajectory was independently associated with significantly increased mortality compared to the low-stable trajectory class.
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