Significance of RDW in predicting mortality in COVID‐19—An analysis of 622 cases

Soni, Mamta; Gopalakrishnan, Ram

doi:10.1111/ijlh.13526

Cited by 17 publications

(22 citation statements)

References 15 publications

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“…In critically ill patients with sepsis, baseline RDW has been shown to be a significant and independent predictor of mortality [35]. Consistent with our findings, numerous studies have reported the association of elevated RDW with mortality in the context of COVID-19 [36][37][38]. The exact mechanism behind the association has yet to be elucidated.…”

Section: Discussionsupporting

confidence: 89%

Cardiometabolic Morbidity and Other Prognostic Factors for Mortality in Adult Hospitalized COVID-19 Patients in North Jakarta, Indonesia

Pramudita

Rosidah²,

Yudia³

et al. 2022

Global Heart

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Background: Although there have been several studies investigating prognostic factors for mortality in COVID-19, there have been lack of studies in low-and middle-income countries, including Indonesia. To date, the country has the highest mortality rate among Asian countries. Objective:We sought to identify the prognostic factors of mortality in hospitalized patients with COVID-19 in Jakarta. Methods:In this retrospective cohort study, we included all adult inpatients (≥18 years old) with confirmed COVID-19 from Koja General Hospital (North Jakarta, Indonesia) who had been hospitalized between March 20 th and July 31 st , 2020. Demographic, clinical, laboratory, and radiology data were extracted from the medical records and compared between survivors and non-survivors. Univariate and multivariate logistic regression analysis were used to explore the prognostic factors associated with inhospital death.Results: Two hundred forty-three patients were included in the study, of whom 32 died.

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Section: Discussionsupporting

confidence: 89%

Cardiometabolic Morbidity and Other Prognostic Factors for Mortality in Adult Hospitalized COVID-19 Patients in North Jakarta, Indonesia

Pramudita

Rosidah²,

Yudia³

et al. 2022

Global Heart

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“…As observed in many other studies, also for our study population, other baseline laboratory findings routinely assessed exist that contribute to a more accurate prognosis evaluation, such as RDW-CV, D-dimer levels, platelet count, and neutrophil to lymphocyte ratio at the time of hospital admission. RDW-CV is known to be a prognostic biomarker in several diseases [ 50 – 52 ] and also in COVID-19 patients [ 19 , 53 – 55 ]; however, at ROC analysis, we obtained a very low sensitivity (RDW-CV values higher than 14.3% displayed 29.3% sensitivity and 89.4% specificity), therefore limiting its usefulness in clinical practice. Increased D-dimer levels and decreased platelet count were initially linked to the onset of disseminated intravascular coagulation (DIC), but today, thanks to the endlessly increase in scientific knowledge about COVID-19 disease, it is gaining attention the hypothesis of a coagulopathy with specific features different from the classical sepsis-related diffuse intravascular coagulopathy [ 56 – 58 ].…”

Section: Discussionmentioning

confidence: 77%

Prognostic Markers in Hospitalized COVID-19 Patients: The Role of IP-10 and C-Reactive Protein

Rizzi¹,

Costanzo

Tonello

et al. 2022

Disease Markers

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Background. SARS-CoV-2 is responsible for COVID-19, a clinically heterogeneous disease, ranging from being completely asymptomatic to life-threating manifestations. An unmet clinical need is the identification at disease onset or during its course of reliable biomarkers allowing patients’ stratification according to disease severity. In this observational prospective cohort study, patients’ immunologic and laboratory signatures were analyzed to identify independent predictors of unfavorable (either death or intensive care unit admission need) or favorable (discharge and/or clinical resolution within the first 14 days of hospitalization) outcome. Methods. Between January and May 2021 (third wave of the pandemic), we enrolled 139 consecutive SARS-CoV-2 positive patients hospitalized in Northern Italy to study their immunological and laboratory signatures. Multiplex cytokine, chemokine, and growth factor analysis, along with routine laboratory tests, were performed at baseline and after 7 days of hospital stay. Results. According to their baseline characteristics, the majority of our patients experienced a moderate to severe illness. At multivariate analysis, the only independent predictors of disease evolution were the serum concentrations of IP-10 (at baseline) and of C-reactive protein (CRP) after 7 days of hospitalization. Receiver-operating characteristic (ROC) curve analysis confirmed that baseline IP − 10 > 4271 pg / mL and CRP > 2.3 mg / dL at 7 days predict a worsening in clinical conditions (87% sensitivity, 66% specificity, area under the curve (AUC) 0.772, p < 0.001 and 83% sensitivity, 73% specificity, AUC 0.826, p < 0.001 , respectively). Conclusions. According to our results, baseline IP-10 and CRP after 7 days of hospitalization could be useful in driving clinical decisions tailored to the expected disease trajectory in hospitalized COVID-19 patients.

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“…25 studies 33–57 out of 1,008 identified publications were incorporated according to the inclusion criteria (Figure 1; Table 1). 19 articles were peer‐reviewed and 6 were preprints 35–37,40,45,53 .…”

Section: Resultsmentioning

confidence: 99%

Role of red blood cell distribution width, as a prognostic indicator in COVID‐19: A systematic review and meta‐analysis

Sarkar

Kannan

Khanna

et al. 2021

Reviews in Medical Virology

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Summary The red blood cell distribution width (RDW), an indicator of anisocytosis has emerged as a potential tool for risk stratification of critically ill patients with sepsis. Prognostic predictors are of paramount interest for prompt intervention and optimal utilization of the healthcare system in this ongoing context of the Coronavirus Disease 2019 (COVID‐19) pandemic. The current systematic review and meta‐analysis aims to explore the utility of RDW in the prognosis of COVID‐19 patients. A comprehensive screening of electronic databases was performed up to 30th April 2021 after enrolling in PROSPERO (CRD42020206685). Observational studies or interventional studies, evaluating the impact of RDW in COVID‐19 outcomes (mortality and severity) are included in this meta‐analysis.Our search retrieved 25 studies, with a total of 18,392 and 3,446 COVID‐19 patients for mortality and disease severity outcomes. Deceased and critically ill patients had higher RDW levels on admission in comparison to survivors and non‐severe patients (SMD = 0.46; 95%CI 0.31–0.71; I 2 = 88% and SMD = 0.46; 95%CI 0.26–0.67; I 2 = 60%, respectively). In a sub‐group analysis of 2,980 patients, RDW > 14.5 has been associated with increased risk of mortality (OR = 2.73; 95%CI 1.96–3.82; I 2 = 56%). However, the evidences is of low quality. A higher level of RDW on admission in COVID‐19 patients is associated with increased morbidity and mortality. However, further studies regarding the cut‐off value of RDW are the need of the hour.

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Significance of RDW in predicting mortality in COVID‐19—An analysis of 622 cases

Cited by 17 publications

References 15 publications

Cardiometabolic Morbidity and Other Prognostic Factors for Mortality in Adult Hospitalized COVID-19 Patients in North Jakarta, Indonesia

Cardiometabolic Morbidity and Other Prognostic Factors for Mortality in Adult Hospitalized COVID-19 Patients in North Jakarta, Indonesia

Prognostic Markers in Hospitalized COVID-19 Patients: The Role of IP-10 and C-Reactive Protein

Role of red blood cell distribution width, as a prognostic indicator in COVID‐19: A systematic review and meta‐analysis

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