ArticleTrauma surgery & acute care open2018
Red cell distribution width predicts out of hospital outcomes in critically ill emergency general surgery patients.
Article in Trauma surgery & acute care open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic value of RDW for the prediction of mortality in adult sepsis patients: A systematic review and meta-analysis.Frontiers in immunology · 2022Pooled it
- The association between week-one red blood cell distribution width and one-year survival in critically ill patients: propensity score-based multicenter analysis.European journal of medical research · 2025Article
- Is Red Cell Distribution Width the Universal Biomarker of Disease Severity and Outcome?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024Article
- Red blood cell distribution width and outcome in trauma patients.Journal of osteopathic medicine · 2021Observational
- Evaluation of the usefulness of red blood cell distribution width in critically ill pediatric patients.Medicine · 2020Observational
- The Association between Peripheral Blood Cells and the Frailty Syndrome in Patients with Cardiovascular Diseases.Endocrine, metabolic & immune disorders drug targets · 2020Observational
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRed cell distribution width (RDW) is associated with mortality and bloodstream infection risk in critically ill patients. We hypothesized that an increase in RDW at hospital discharge in critically ill patients who received emergency general surgery (EGS) would be associated with increased mortality after hospital discharge.
methodsWe performed a two-center observational study of patients treated in medical and surgical intensive care units. We studied 1567 patients, who received critical care between 1998 and 2012 who underwent EGS and survived hospitalization. The exposure of interest was RDW within 24 hours of hospital discharge and categorized a priori in quintiles as ≤13.3%, 13.3% to 14.0%, 14.0% to 14.7%, 14.7% to 15.8%, 15.8% to 17.0% and >17.0%. The primary outcome was 90-day all-cause mortality. Adjusted ORs were estimated by multivariable logistic regression models with inclusion of covariate terms for age, race, gender, Deyo-Charlson Index, sepsis and number of organs with acute failure.
resultsThe cohort patients were 51.4% male and 23.2% non-white. 23.9% had sepsis and the mean age was 58 years. 90-day postdischarge mortality was 6.8%. Patients with a discharge RDW 15.8% to 17.0% or RDW >17.0% have an adjusted OR of 90-day postdischarge mortality of 3.64 (95% CI 1.04 to 12.68; p=0.043) or 4.58 (95% CI 1.32 to 15.93; p=0.02), respectively, relative to patients with a discharge RDW ≤13.3%. Further, patients with a discharge RDW ≥15.8 have an adjusted OR of 30-day hospital readmission of 2.12 (95% CI 1.17 to 3.83; p=0.013) relative to patients with a discharge RDW ≤13.3%.
conclusionsIn EGS patients requiring critical care who survive hospitalization, an elevated RDW at the time of discharge is a robust predictor of all-cause patient mortality and hospital readmission after discharge. LEVEL OF EVIDENCE: Level II, prognostic retrospective study.
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