The predictive value of RDW in AKI and mortality in patients with traumatic brain injury

Wang, Ruo-Ran; He, Min; Ou, Xiao Feng; Xie, Xiao Qi; Kang, Yan

doi:10.1002/jcla.23373

Cited by 18 publications

(12 citation statements)

References 55 publications

(108 reference statements)

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“…To diagnose a renal disorder accompanied by a rapid renal function decline, an AKI biomarker that reflects the renal disorder at an early stage is required. AKI biomarkers have been discovered and used in clinical practice, and studies that predict an early diagnosis and prognosis have been reported 10–13 . In this study, we verified the usefulness of U‐NGAL, PCT, and routine laboratory test results as AKI biomarkers in hospitalized adult ICU patients in the emergency department.…”

Section: Discussionsupporting

confidence: 59%

“…AKI biomarkers have been discovered and used in clinical practice, and studies that predict an early diagnosis and prognosis have been reported. 10 , 11 , 12 , 13 In this study, we verified the usefulness of U‐NGAL, PCT, and routine laboratory test results as AKI biomarkers in hospitalized adult ICU patients in the emergency department.…”

Section: Discussionsupporting

confidence: 57%

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Analysis of the diagnostic capabilities of urinary neutrophil gelatinase‐associated lipocalin and serum procalcitonin for acute kidney injury at the early stage of critical care intensive care unit admission

Imoto

Wakasaki

Izumida

et al. 2021

Clinical Laboratory Analysis

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Background Acute kidney injury (AKI) is a disease that negatively affects patient prognosis and requires early diagnosis and treatment. Biomarkers that predict AKI are needed for early diagnosis of this disease. Methods We compared the AKI group and the non‐AKI group in patients who were admitted to our critical care intensive care unit (ICU) and conducted a comparative study focusing on urinary neutrophil gelatinase‐associated lipocalin (U‐NGAL) and serum procalcitonin (PCT). Results Seventy‐one out of 106 ICU inpatients were diagnosed with AKI in accordance with the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Among the patients who were diagnosed with AKI stages 1 to 3, 94.4% of all patients reached the maximum stage by day 5 after admission. Comparing the non‐AKI group and AKI stage 1 to 3 on days 1 to 3 after admission, U‐NGAL and PCT levels in the stage 3 group were significantly higher than those in the non‐AKI group. Additionally, in receiver operating characteristic curve (ROC) analysis on days 1–3 after admission, U‐NGAL and PCT levels can be used as biomarkers for the diagnosis of AKI, and in particular, AKI stage 3 can be predicted and diagnosed with high accuracy. U‐NGAL and PCT levels were also significantly higher in AKI due to sepsis and acute pancreatitis and due to sepsis, respectively. Conclusions Measuring U‐NGAL and PCT levels as biomarkers for AKI may further improve the accuracy of AKI diagnosis in critical care ICU.

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Section: Discussionsupporting

confidence: 59%

Section: Discussionsupporting

confidence: 57%

Analysis of the diagnostic capabilities of urinary neutrophil gelatinase‐associated lipocalin and serum procalcitonin for acute kidney injury at the early stage of critical care intensive care unit admission

Imoto

Wakasaki

Izumida

et al. 2021

Clinical Laboratory Analysis

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“…Hu et al reported a significant increase in risk of AKI and short and long-term mortality in patients with increased RDW at time of admission in the coronary care unit ( 9 ). Similarly, a trial conducted by Wang et al showed elevated levels of RDW to be an independent predictor for frequency of AKI and mortality in patients with traumatic brain injuries, using a cut-off of 14.25% ( 10 ). Nevertheless, there exists very little information about the relationship between RDW and frequency of AKI and mortality in ARDS patients.…”

Section: Introductionmentioning

confidence: 99%

Red Cell Distribution Width at Admission Predicts the Frequency of Acute Kidney Injury and 28-Day Mortality in Patients With Acute Respiratory Distress Syndrome

Cai

Jiang

et al. 2021

Shock

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To determine the association of red cell distribution width (RDW) at admission with frequency of acute kidney injury (AKI) and 28-day mortality in acute respiratory distress syndrome (ARDS) patients. Methods: Two hundred fifty-eight ARDS patients were investigated in retrospective and prospective studies. The primary outcome was frequency of AKI. The secondary outcome was 28-day mortality. Results: The retrospective study included 193 ARDS patients, of which 67 (34.7%) were confirmed AKI and 76 (39.4%) died within 28 days. The RDW level in the AKI group was significantly higher than in the non-AKI group ([15.15 AE 2.59]% vs. [13.95 AE 1.89]%). Increased RDW was a significant predictor of frequency of AKI (odds ratio: 1.247, 95% confidence interval [CI]: 1.044, 1.489). The area under the receiver operating characteristic curve of RDW for predicting AKI was 0.687 (95%CI: 0.610, 0.764) and the cut-off value was 14.45 (sensitivity, 56.7%; specificity, 72.8%). In addition, the proportion of patients with RDW ! 14.45% in the non-survival group was notably higher compared with the survival group (48.7% vs. 29.1%). Furthermore, cox regression analysis revealed that RDW ! 14.45% was associated with 28-day mortality (hazard ratio: 1.817, 95%CI: 1.046, 3.158), while Kaplan-Meier analysis showed patients with RDW ! 14.45% had a significantly lower survival rate than those with RDW < 14.45%. The prospective study, on the other hand, included 65 ARDS patients, with frequency of AKI and 28-day mortality in the RDW ! 14.45% group significantly higher than in RDW < 14.45%. Conclusion: RDW was a significant, independent predictor for frequency of AKI and 28-day mortality in ARDS patients. KEYWORDS-Acute kidney injury, acute respiratory distress syndrome, mortality, red cell distribution width ABBREVIATIONS-AKI-acute kidney injury; APACHE II-acute physiology and chronic health evaluation II; ARDSacute respiratory distress syndrome; AUC-area under curve; BUN-blood urea nitrogen; CI-confidence interval; COPD-chronic obstructive pulmonary disease; CRP-C-reactive protein; CRRT-continuous renal replacement therapy; eGFR-estimated glomerular filtration rate; EICU-emergency intensive care unit; HRs-hazard ratios; ICUintensive care units; IMV-invasive mechanical ventilation; IQR-interquartile ranges; KDIGO-kidney disease improving global outcomes; LR-likelihood ratio; NLR-neutrophil to lymphocyte ratio; OR-odds ratio; PaO 2 /FiO 2 -partial pressure of arterial oxygen to the fraction of inspired oxygen; PCT-procalcitonin; RDW-red cell volume distribution width; ROCreceiver operating characteristic curve; SCr-serum creatinine; SD-standard deviation; SOFA-sequential organ failure assessment; UA-uric acid; WBC-white blood cell

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“…Therefore, the number of investigations and researches on AKI in critically ill patients was continuously increasing and relevant results were discovered. Such as trauma, increased blood lactate, shock, old age, red blood cell distribution width (RDW), and increased procalcitonin were investigated to be independent risk factors for the development of AKI (9)(10)(11)(12).…”

Section: Introductionmentioning

confidence: 99%

Association Between Serum Osmolality and Acute Kidney Injury in Critically Ill Patients: A Retrospective Cohort Study

et al. 2021

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Purposes: Acute kidney injury (AKI) is a common complication in critically ill patients and is usually associated with poor outcomes. Serum osmolality has been validated in predicting critically ill patient mortality. However, data about the association between serum osmolality and AKI is still lacking in ICU. Therefore, the purpose of the present study was to investigate the association between early serum osmolality and the development of AKI in critically ill patients.Methods: The present study was a retrospective cohort analysis based on the medical information mart for intensive care III (MIMIC-III) database. 20,160 patients were involved in this study and divided into six subgroups according to causes for ICU admission. The primary outcome was the incidence of AKI after ICU admission. The association between early serum osmolality and AKI was explored using univariate and multivariate logistic regression analyses.Results: The normal range of serum osmolality was 285–300 mmol/L. High serum osmolality was defined as serum osmolality >300 mmol/L and low serum osmolality was defined as serum osmolality <285 mmol/L. Multivariate logistic regression indicated that high serum osmolality was independently associated with increased development of AKI with OR = 1.198 (95% CL = 1.199–1.479, P < 0.001) and low serum osmolality was also independently associated with increased development of AKI with OR = 1.332 (95% CL = 1.199–1.479, P < 0.001), compared with normal serum osmolality, respectively.Conclusions: In critically ill patients, early high serum osmolality and low serum osmolality were both independently associated with an increased risk of development of AKI.

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The predictive value of RDW in AKI and mortality in patients with traumatic brain injury

Cited by 18 publications

References 55 publications

Analysis of the diagnostic capabilities of urinary neutrophil gelatinase‐associated lipocalin and serum procalcitonin for acute kidney injury at the early stage of critical care intensive care unit admission

Analysis of the diagnostic capabilities of urinary neutrophil gelatinase‐associated lipocalin and serum procalcitonin for acute kidney injury at the early stage of critical care intensive care unit admission

Red Cell Distribution Width at Admission Predicts the Frequency of Acute Kidney Injury and 28-Day Mortality in Patients With Acute Respiratory Distress Syndrome

Association Between Serum Osmolality and Acute Kidney Injury in Critically Ill Patients: A Retrospective Cohort Study

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