Association of platelet trajectory patterns with in-hospital mortality in critically ill adults with acute kidney injury receiving continuous renal replacement therapy

Thrombocytopenia commonly occurs in critically ill patients with acute kidney injury (AKI) receiving continuous renal replacement therapy (CRRT) and is associated with poor outcomes. While previous studies have examined static platelet counts and relative declines, the prognostic significance of platelet trajectory patterns before and after CRRT initiation remains unclear. This study investigates the association between platelet count trajectories and in-hospital mortality in critically ill adult patients with AKI receiving CRRT. This study is a single-center retrospective cohort study utilizing electronic health record (EHR) data from critically ill adults (≥ 18 years) with AKI who received CRRT at the University of Alabama at Birmingham between January 2012 and December 2023. Platelet trajectories were assessed using mixed-effects models incorporating all platelet measurements within seven days before and after CRRT initiation. The slopes of platelet count change were categorized as descending (≤ -10 × 10³/µL/day), stable (-10 to 10), or ascending (≥ 10), creating a total of nine trajectory patterns by combining the three pre-CRRT and three during-CRRT categories. The primary outcome was in-hospital mortality, which was analyzed in relation to these trajectory patterns using logistic regression models adjusted for demographics, comorbidities, Sequential Organ Failure Assessment (SOFA) score, medications, and use of other organ support devices as covariates. The study included 2,226 critically ill adults with AKI on CRRT, encompassing 8,569 patient-days before and 11,699 patient-days after CRRT initiation for platelet slope calculation. The median age was 59 years (IQR 48–69) and the median SOFA score at CRRT initiation was 12 (9–14). The in-hospital mortality rate was 57.8%. Before CRRT initiation, the most common trajectory was descending (46.2%), while after CRRT initiation, the stable pattern was most prevalent (58.3%). All patterns with a descending platelet trajectory during-CRRT were significantly associated with higher in-hospital mortality (aOR 1.92 [95% CI: 1.16–3.21] for ascending-descending; 1.49 [1.07–2.08] for stable-descending; 1.52 [1.04–2.23] for descending-descending). In contrast, all patterns with stable or increasing platelet counts during-CRRT tended to have lower mortality. A descending platelet trajectory after CRRT initiation was independently associated with increased in-hospital mortality.

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Journal
BMC Nephrology
Published
2025-11-12
DOI
https://doi.org/10.1186/s12882-025-04562-w
Citations
1
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
Field-Weighted Citation Impact
1.05
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article

Association of platelet trajectory patterns with in-hospital mortality in critically ill adults with acute kidney injury receiving continuous renal replacement therapy

Javier A. Neyra, Chloe G. Braun, Udeme E. Ekrikpo, Lan N. Bui et al.
1 citations
BMC Nephrology
Inflammatory Biomarkers in Disease Prognosis
1.05
article

Association of platelet trajectory patterns with in-hospital mortality in critically ill adults with acute kidney injury receiving continuous renal replacement therapy

Javier A. Neyra, Chloe G. Braun, Udeme E. Ekrikpo, Lan N. Bui, Ashita Tolwani, Joshua Lambert, KIANOUSH B KASHANI, Tomonori Takeuchi, Stefania Renzi, NR Clay, Diego Sánchez Hernández
article en
1 citations

Abstract

Thrombocytopenia commonly occurs in critically ill patients with acute kidney injury (AKI) receiving continuous renal replacement therapy (CRRT) and is associated with poor outcomes. While previous studies have examined static platelet counts and relative declines, the prognostic significance of platelet trajectory patterns before and after CRRT initiation remains unclear. This study investigates the association between platelet count trajectories and in-hospital mortality in critically ill adult patients with AKI receiving CRRT. This study is a single-center retrospective cohort study utilizing electronic health record (EHR) data from critically ill adults (≥ 18 years) with AKI who received CRRT at the University of Alabama at Birmingham between January 2012 and December 2023. Platelet trajectories were assessed using mixed-effects models incorporating all platelet measurements within seven days before and after CRRT initiation. The slopes of platelet count change were categorized as descending (≤ -10 × 10³/µL/day), stable (-10 to 10), or ascending (≥ 10), creating a total of nine trajectory patterns by combining the three pre-CRRT and three during-CRRT categories. The primary outcome was in-hospital mortality, which was analyzed in relation to these trajectory patterns using logistic regression models adjusted for demographics, comorbidities, Sequential Organ Failure Assessment (SOFA) score, medications, and use of other organ support devices as covariates. The study included 2,226 critically ill adults with AKI on CRRT, encompassing 8,569 patient-days before and 11,699 patient-days after CRRT initiation for platelet slope calculation. The median age was 59 years (IQR 48–69) and the median SOFA score at CRRT initiation was 12 (9–14). The in-hospital mortality rate was 57.8%. Before CRRT initiation, the most common trajectory was descending (46.2%), while after CRRT initiation, the stable pattern was most prevalent (58.3%). All patterns with a descending platelet trajectory during-CRRT were significantly associated with higher in-hospital mortality (aOR 1.92 [95% CI: 1.16–3.21] for ascending-descending; 1.49 [1.07–2.08] for stable-descending; 1.52 [1.04–2.23] for descending-descending). In contrast, all patterns with stable or increasing platelet counts during-CRRT tended to have lower mortality. A descending platelet trajectory after CRRT initiation was independently associated with increased in-hospital mortality.

BMC NephrologyVol. 26(1)
Mayo Clinic (US), Illinois College (US), University of New Mexico (US), University of Alabama at Birmingham (US), University of Illinois Chicago (US), Instituto Nacional de Cardiología (MX), Palm Beach Atlantic University (US), University of Cincinnati Medical Center (US)
Openalex Percentile: Top 16%
Inflammatory Biomarkers in Disease Prognosis
1.05
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