- Research article
- Open Access
Prognostic role of red blood cell distribution width in patients with sepsis: a systematic review and meta-analysis
BMC Immunology volume 21, Article number: 40 (2020)
Outcome prediction for patients with sepsis may be conductive to early aggressive interventions. Numerous biomarkers and multiple scoring systems have been utilized in predicting outcomes, however, these tools were either expensive or inconvenient.
We performed a meta-analysis to evaluate the prognostic role of red blood cell distribution width (RDW) in patients with sepsis.
The online databases of Embase, Web of science, Pubmed, Corchrane library, Chinese Wanfang database, CNKI database were systematically searched from the inception dates to June, 24th, 2020, using the keywords red cell distribution width and sepsis. The odds ratio (OR) or Hazards ratio (HR) with corresponding 95% confidence intervals (95%CI) were pooled to evaluate the association between baseline RDW and sepsis. A random-effects model was used to pool the data, and statistical heterogeneity between studies was evaluated using the I2 statistic. Sensitivity and subgroup analyses were performed to detect the publication bias and origin of heterogeneity.
Eleven studies with 17,961 patients with sepsis were included in the meta-analysis. The pooled analyses indicated that increased baseline RDW was associated with mortality (HR = 1.14, 95%CI 1.09–1.20, Z = 5.78, P < 0.001) with significant heterogeneity (I2 = 80%, Pheterogeneity < 0.001). Similar results were found in the subgroup analysis stratified by site of infection, comorbidity, Newcastle-Ottawa Scale (NOS) score, study design, patients’ country. The predefined subgroup analysis showed that NOS score may be the origin of heterogeneity.
For patients with sepsis, baseline RDW may be a useful predictor of mortality, patients with increased RDW are more likely to have higher mortality.
Despite the modern and advanced diagnostic methods, broad-spectrum antibiotics, and intensive care, sepsis mortality is still unacceptably high . The prediction of outcome for patients with sepsis may be conductive to early aggressive interventions . Numerous biomarkers and multiple scoring systems have been utilized to predict the outcome for patients with sepsis [3,4,5,6], however, these tools were either expensive or inconvenient.
Red cell distribution width (RDW) is an erythrocyte index, reflecting the heterogeneity in the size of circulating erythrocytes, which is used in diagnosis or differential diagnosis of hematological disease [7, 8]. Recently, RDW has proved to be a powerful predictor of outcome in many pathological conditions, including acute or chronic heart failure , acute pancreatitis , sepsis [11, 12], acute pulmonary embolism , acute kidney injury , etc. Although, the relevant mechanisms involved in the relationship of RDW and sepsis are not well clarified, it is critical to define the prognostic role of RDW in patients with sepsis. Given the inconsistent conclusions regarding the relationship of RDW and sepsis, we performed a comprehensive meta-analysis to evaluate the prognostic role of RDW in patients with sepsis.
Two reviewers (LZ and ChY) systematically and independently searched the online databases of Embase, Web of science, Pubmed, Corchrane library, Chinese Wanfang database, CNKI database from the inception dates to June, 24th, 2020, using the keywords sepsis, severe sepsis, septic shock and red blood cell distribution width to identify published articles evaluating the association between sepsis and RDW with no language restrictions.
Studies were selected based on the inclusion criteria: (1) The study design was a randomized clinical trial (RCT), a retrospective cohort study (RCS), a prospective cohort study (PCS) or a case control study (CCS); (2) A study with baseline RDW and clearly noted clinical outcomes during follow-up of sepsis patients; (3) A study with a reported hazard ratio (HR) or odds ratio (OR) and a corresponding 95% confidence interval (95%CI),or a study with no directly reported HR and 95%CI that we could reconstruct with P values and other reported data for RDW levels and mortality in sepsis patients. Individual case reports, abstracts, letters, editorials and review articles were excluded, as were studies without specific data concerning sepsis or RDW. When multiple published reports concerning the same cohort, we used only the first publication.
Two investigators (LZ and ChY) independently screened the studies’ abstracts and titles, blinded to the authors and the journal titles, to identify all potential eligible studies. Potentially relevant articles were retrieved as full text and assessed for consistence with the inclusion criteria. Any uncertainties or discrepancies were discussed with other researchers and finally resolved by Li-ya Mo. We extracted the necessary data elements, including the first author’s last name, year of publication, country of the population, study design, sample size, gender ratio, mean age, cutoff value of RDW to define “elevated RDW”, clinical outcome, etc. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included studies. The scale uses a star system (with a maximum of 9 stars) in three domains: selection of participants, comparability of study groups, and ascertainment of outcome or exposure. A Study with a scores of ≥7 was defined as high-quality study.
Pooled effect sizes were reported as the HR with 95%CI, directly obtained from the original manuscript or calculated by other data reported in the manuscript. A random-effects model was performed to pool the data, and statistical heterogeneity between studies was evaluated using the I2 statistic. A I2 > 50% indicates significant statistical heterogeneity, Subgroup analysis was performed to explore the source of heterogeneity according to site of infection, comorbidity, NOS score, study design, patients ‘country. Sensitivity analysis was performed by deleting one study each time to evaluate the pooled effect. We evaluated the publication bias by examining funnel plots when the number of studies reporting the primary clinical outcomes was 10 or more. All meta-analyses were carried out using Revman version 5.3(provided by Cochrane Collaboration). All tests were dual-tailed, and p < 0.05 was defined as statistically significant.
Studies retrieved and characteristics
A flow diagram of data retrieval and study selection is shown in Fig. 1. A total of 205 potentially eligible studies were identified according to the inclusion criteria. Twenty-one duplicate records were discarded. The titles and abstracts of the remaining 184 records were then screened for inclusion, 157 records were discarded, either because they were not relevant to the current analysis or they were just abstracts, letters or reviews. Finally, the full texts of 27 studies were read, and 11 met the inclusion criteria.
Eleven studies with a total of 17,961 patients were included in the meta-analysis. The main characteristics of the included studies are presented in Table 1. The studies were conducted in Asia, Europe, North America, between 2014 and 2019. Two studies were prospective cohort studies, three were retrospective cohort studies, and the other six were case-control studies. The median age of the patients ranged from 59.5 to 81.5 years old. The proportion of males in the studies ranged from 50.5 to 67.7%. The patients’ primary comorbidities were hypertension or diabetes mellitus in eight studies [12, 15,16,17,18, 21,22,23], and the primary resource of infection were respiratory system in seven studies [11, 12, 17, 18, 20, 21, 23]. Patients in three studies with special type of sepsis were acute kidney injury undergoing continuous renal replacement therapy , community-acquired intra-abdominal sepsis  and cancer . The primary clinical outcome was 28-day or 30-day mortality, hospital mortality, or all-cause mortality. The Cut-off of RDW ranged from 14.0 to 16.0%.
As is shown in Table 2, the Newcastle-Ottawa Scale (NOS) score of 11 studies ranged from five to eight, the NOS score of four studies were below seven.
Association between RDW and outcome of patients with sepsis
Eleven studies in the meta-analysis examined the association between RDW and patients’ mortality. RDWs in all 11 studies were reported as continuous variables. As shown in Fig. 2, the combined results of 11 studies showed that elevated RDW was associated with mortality (HR = 1.14, 95%CI 1.09–1.20, Z = 5.78, P < 0.001) with significant heterogeneity (I2 = 80%, Pheterogeneity < 0.001), that meant for patients with sepsis, each 1% increase in RDW, the risk of mortality increased by 14%.
Sensitivity and subgroup analysis
A single literature involved in the meta-analysis was deleted each time to detect the influence of the individual data set on the pooled HRs. There were no significant influences on heterogeneity across studies except the study by Li , the heterogeneity decreased from 80 to 58%. We also performed a predefined subgroup analysis according to study design (prospective cohort study, retrospective cohort study, or case control study), comorbidity, site of infection, NOS score (≥7 or < 7). We found that study design, comorbidity and site of infection didn’t influence the overall heterogeneity, while we found that there was lower heterogeneity (I2 = 14%) between studies of NOS ≥7, the NOS score may be the origin of heterogeneity. As is shown in Fig. 3, When the combined results of 7 studies with NOS ≥7, elevated RDW was also associated with higher mortality (HR = 1.13, 95%CI 1.10–1.17, Z = 9.02, P < 0.001) with lower heterogeneity (I2 = 14%, P heterogeneity = 0.32). Furthermore, similar results were found in subgroup analysis stratified by site of infections, comorbidity, study design and region of patients, which were shown in Table 3.
To evaluate the publication bias in the study, the included studies were conducted by funnel plot, which was not symmetrical, indicating the potential existence of publication bias (Fig. 4).
Numerous studies have reported the association between RDW and adverse clinical outcomes in various diseases, especially for mortality [9, 12]. This meta-analysis is the first time to combine the results of eligible studies concerning the association between RDW and sepsis. In the comprehensive meta-analysis including 17,961 sepsis patients from 11 studies, RDW was a remarkably useful predictor of mortality in patients with sepsis.
Also, there were other meta-analysis concerning the prognostic value of RDW in hematological malignancies , heart failure  or chronic kidney disease , etc. The previous researchers drew a similar conclusion as the ongoing meta-analysis: RDW may serve as a useful predictor of clinical outcome. In nine of the enrolled studies, baseline RDW significantly predicted the short-term (28 or 30 day) or long-term mortality (4 years), only two studies [19, 21] did not support the prognostic role of RDW in patients with sepsis. Ozdogan  recruited patients of a special subgroup of sepsis: the community-acquired intra-abdominal sepsis, and the primary clinical outcome was hospital mortality less than 15 days. While Gong  explored the role of baseline RDW and increasing of RDW in the whole course of disease, only the increasing of RDW but not the baseline RDW could predict the 28-day mortality.
The potential mechanisms underneath the association between increased RDW and higher risk of mortality remain largely unknown. Several latent mechanisms have been suggested to explain the reason why increased RDW leads to adverse outcome in sepsis patients. Firstly, An association between increasing RDW and elevated levels of acute phase reactants has been clearly demonstrated in previous researches , such as C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), interlukin-6(IL-6), tumor necrosis factor (TNF) receptors I and II. This indicates that RDW may reflex the presence of inflammatory response, which can negatively affect the bone marrow function, iron metabolism and red blood cells homeostasis , then leading to blunted erythropoiesis (anisocytosis), an active role in the onset and progression of many human pathologies, and may also generate a negative impact on systemic inflammatory response syndrome  (sepsis). Secondly, high oxidative stress, one of the pathophysiologic entities of sepsis , can reduce RBCs survival  and increase the release of large premature RBCs into the peripheral circulation, which directly leading to elevated RDW. Thirdly, sepsis can alter glycoproteins and ion channels of the membrane in RBCs, which contributes to the change of RBCs morphology . Lastly, RDW has proved to be associated with renal dysfunction, which is closely related with malnutrition and inflammation . All above factors considered, it is reasonable to presume that elevated RDW may reflex an integrative measure of various harmful pathologic process, including oxidative stress, inflammatory response, renal dysfunction, malnutrition, which may occur simultaneously in sepsis.
Although there was significant heterogeneity across the included 11 studies, sensitivity analysis indicated that the pooled results were robust. After deleting one study each time, the pooled HRs remained stable. The study by Li  was retrospectively performed by collecting data from ICU patients in the USA, while the majority patients of the included studies were derived from Asia, racial or region differences may have effect on the significant heterogeneity. We also performed the predefined subgroup analysis, and found that NOS score may be the origin of heterogeneity, NOS score of four studies was below seven. They were designed retrospectively, the primary and other latent confounding factors were not strictly controlled, leading to limited comparability. Similar results were found in subgroup analysis stratified by site of infection, comorbidity, study design and country of patients.
This meta-analysis does have some limitations that should call for cautious interpretation of the results. First, the majority of the included studies were conducted in Asia, which could not be representative of other areas. The application of prognostic role of RDW in sepsis in other areas needs further study in advance. Second, different RDW cutoffs, NOS score and sample size across the 11 studies may attribute to the heterogeneity, and cause bias in the meta-analysis. Third, despite adjusting for several potential confounding factors and prevalent conditions, it is possible that there might be residual confounding from diseases and medications not included in the current study. Fourth, we did not obtain the data about iron, folate, vitamin B12, erythropoietin or reticulocyte count, which may affect the RDW level . Fifth, unsymmetrical funnel plot indicated the existence of publication bias, some negative results might be unpublished.
Red cell distribution width at baseline is associated with mortality of patients with sepsis, RDW may be a simple and useful prognostic marker for the patients with sepsis. This study provides support for further research of adding RDW to other established outcome predicting systems and markers of mortality and inflammation in patients with sepsis.
Availability of data and materials
All data analyzed during the study are included in this published article (and its supplementary information files) and are available from the included studies, which are fully referenced.
Red blood cell distribution width
95% confidence intervals
Randomized clinical trial
Retrospective cohort study
Prospective cohort study
Case control study
Erythrocyte sedimentation rate
Tumor necrosis factor
Red blood cell
Intensive care unit
Chen XC, Yang YF, Wang R, Gou HF, Chen XZ. Epidemiology and microbiology of sepsis in mainland China in the first decade of the 21st century. Int J Infect Dis. 2015;31:9–14.
Chen KF, Liu SH, Li CH, Wu CC, Chaou CH, Tzeng IS, Hsieh YH, Blaney GN, Liu ZY, Han ST, et al. Development and validation of a parsimonious and pragmatic CHARM score to predict mortality in patients with suspected sepsis. Am J Emerg Med. 2017;35(4):640–6.
Wu Q, Xiao Z, Pu Y, Zhou J, Wang D, Huang Z, Hou D. TnI and IL-18 levels are associated with prognosis of sepsis. Postgrad Med J. 2019;95(1123):240–4.
Chen Q, Zhang L, Ge S, He W, Zeng M. Prognosis predictive value of the Oxford acute severity of illness score for sepsis: a retrospective cohort study. PeerJ. 2019;7:e7083.
Letendre JA, Goggs R. Determining prognosis in canine sepsis by bedside measurement of cell-free DNA and nucleosomes. J Vet Emerg Crit Care (San Antonio). 2018;28(6):503–11.
Liu J, Shi K, Chen M, Xu L, Hong J, Hu B, Yang X, Sun R. Elevated miR-155 expression induces immunosuppression via CD39(+) regulatory T-cells in sepsis patient. Int J Infect Dis. 2015;40:135–41.
Sultana GS, Haque SA, Sultana T, Ahmed AN. Value of red cell distribution width (RDW) and RBC indices in the detection of iron deficiency anemia. Mymensingh Med J. 2013;22(2):370–6.
Piriyakhuntorn P, Tantiworawit A, Rattanathammethee T, Chai-Adisaksopha C, Rattarittamrong E, Norasetthada L. The role of red cell distribution width in the differential diagnosis of iron deficiency anemia and non-transfusiondependent thalassemia patients. Hematol Rep. 2018;10(3):7605.
Salvatori M, Formiga F, Moreno-Gonzalez R, Chivite D, De Amicis MM, Cappellini MD, Corbella X. Red blood cell distribution width as a prognostic factor of mortality in elderly patients firstly hospitalized due to heart failure. Kardiol Pol. 2019;77(6):632–8.
Zhang T, Liu H, Wang D, Zong P, Guo C, Wang F, Wu D, Tang M, Zhou J, Zhao Y. Predicting the severity of acute pancreatitis with red cell distribution width at early admission stage. Shock. 2018;49(5):551–5.
Kang S, Ze-liang Q, Dong-wei X, Zhen-dong L. Prognostic value of red blood cell distribution width for the eldly patients with sepsis. Chongqing Med J. 2016;3:398–401.
Wang AY, Ma HP, Kao WF, Tsai SH, Chang CK. Red blood cell distribution width is associated with mortality in elderly patients with sepsis. Am J Emerg Med. 2018;36(6):949–53.
Yazici S, Kiris T, Sadik Ceylan U, Terzi S, Uzun AO, Emre A, Yesilcimen K. Relation between dynamic change of red cell distribution width and 30-day mortality in patients with acute pulmonary embolism. Clin Respir J. 2018;12(3):953–60.
Wang B, Lu H, Gong Y, Ying B, Cheng B. The association between red blood cell distribution width and mortality in critically ill patients with acute kidney injury. Biomed Res Int. 2018;2018:9658216.
Cho AY, Yoon HJ, Lee KY, Sun IO. Clinical characteristics of sepsis-induced acute kidney injury in patients undergoing continuous renal replacement therapy. Ren Fail. 2018;40(1):403–9.
Han YQ, Zhang L, Yan L, Li P, Ouyang PH, Lippi G, Hu ZD. Red blood cell distribution width predicts long-term outcomes in sepsis patients admitted to the intensive care unit. Clin Chim Acta. 2018;487:112–6.
Kim S, Lee K, Kim I, Jung S, Kim MJ. Red cell distribution width and early mortality in elderly patients with severe sepsis and septic shock. Clin Exp Emerg Med. 2015;2(3):155–61.
Lorente L, Martin MM, Abreu-Gonzalez P, Sole-Violan J, Ferreres J, Labarta L, Diaz C, Gonzalez O, Garcia D, Jimenez A, et al. Red blood cell distribution width during the first week is associated with severity and mortality in septic patients. PLoS One. 2014;9(8):e105436.
Ozdogan HK, Karateke F, Ozyazici S, Ozdogan M, Ozaltun P, Kuvvetli A, Gokler C, Ersoy Z. The predictive value of red cell distribution width levels on mortality in intensive care patients with community-acquired intra-abdominal sepsis. Ulus Travma Derg. 2015;21(5):352–7.
Qia-feng D, Xiao-hua C, Yong-ru C, Lin-xi H. Predictive value of red blood cell distribution width for patients with cancer and septic shock. Guangdong Med J. 2018;39(13):2023–6.
Yan G, Xian-ming L, Jun J, Xin-jing Y. Elevation of red cell distribution width during hospitalization predicts mortality in patients with sepsis. Chin Crit Care Med. 2017;6(29):481–5.
Hui-dong L, Xing B. Evaluation of the influence of red blood cell distribution width on the prognosis of patients with sepsis based on data mining. J Clin Emerg. 2019;20(04):263–7.
Fei W, Da-li Y, Wen-hui K, Xue-feng J. The correlation between prognosis and red blood cell distribution width in sepsis patients. Chin J Postgrad Med. 2015;3(38):171–4.
Ai L, Mu S, Hu Y. Prognostic role of RDW in hematological malignancies: a systematic review and meta-analysis. Cancer Cell Int. 2018;18:61.
Shao Q, Li L, Li G, Liu T. Prognostic value of red blood cell distribution width in heart failure patients: a meta-analysis. Int J Cardiol. 2015;179:495–9.
Zhang T, Li J, Lin Y, Yang H, Cao S. Association between red blood cell distribution width and all-cause mortality in chronic kidney disease patients: a systematic review and meta-analysis. Arch Med Res. 2017;48(4):378–85.
Vaya A, Sarnago A, Fuster O, Alis R, Romagnoli M. Influence of inflammatory and lipidic parameters on red blood cell distribution width in a healthy population. Clin Hemorheol Microcirc. 2015;59(4):379–85.
Askar S, Deveboynu SN, Er H, Askar TK, Hismiogullari AA. Changes in pro-inflammatory cytokines and antimicrobial proteins in elderly women with iron deficiency anemia. Pak J Med Sci. 2019;35(2):298–301.
Orsini M, Chateauvieux S, Rhim J, Gaigneaux A, Cheillan D, Christov C, Dicato M, Morceau F, Diederich M. Sphingolipid-mediated inflammatory signaling leading to autophagy inhibition converts erythropoiesis to myelopoiesis in human hematopoietic stem/progenitor cells. Cell Death Differ. 2019;26:1796–812.
Yamaguchi J, Nagase M, Yamamoto Y, Sakurai A, Kubo A, Mitsuhashi H, Matsuoka M, Ihara S, Kinoshita K. Increased oxidative stress and renal injury in patients with sepsis. J Clin Biochem Nutr. 2018;63(2):137–43.
Yuan T, Cong Y, Meng J, Qian H, Ye W, Sun WS, Zhao JN, Bao NR. Arachidonic acid causes hidden blood loss-like red blood cell damage through oxidative stress reactions. J Surg Res. 2017;211:14–20.
Subramani K, Raju SP, Chu X, Warren M, Pandya CD, Hoda N, Fulzele S, Raju R. Effect of plasma-derived extracellular vesicles on erythrocyte deformability in polymicrobial sepsis. Int Immunopharmacol. 2018;65:244–7.
Oh HJ, Park JT, Kim JK, Yoo DE, Kim SJ, Han SH, Kang SW, Choi KH, Yoo TH. Red blood cell distribution width is an independent predictor of mortality in acute kidney injury patients treated with continuous renal replacement therapy. Nephrol Dial Transplant. 2012;27(2):589–94.
de Andrade Silva Cavalcanti R, ADS D, de Arruda IKG. Concentrations of intra-erythrocyte Folate, serum vitamin B12, and Hemoglobin in women of childbearing age and associated factors. J Am Coll Nutr. 2019;38(8):739–45.
Many thanks to Cai-zhi Huang for her advice and contributions to the final version of the manuscript.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Zhang, L., Yu, Ch., Guo, Kp. et al. Prognostic role of red blood cell distribution width in patients with sepsis: a systematic review and meta-analysis. BMC Immunol 21, 40 (2020). https://doi.org/10.1186/s12865-020-00369-6
- Red cell distribution width
- Septic shock