Red cell distribution width and early mortality in elderly patients with severe sepsis and septic shock

Establishment of a mortality risk nomogram for predicting in-hospital mortality of sepsis: cohort study from a Chinese single center

Objective

To establish a mortality risk nomogram for predicting in-hospital mortality of sepsis patients in the Chinese population.

Methods

Data were obtained from the medical records of sepsis patients enrolled at the Affiliated Huadu Hospital, Southern Medical University, between 2019 and 2021. A total of 696 sepsis patients were initially included in our research, and 582 cases were finally enrolled after screening and divided into the survival group (n = 400) and the non-survival group (n = 182) according to the incidence of mortality during hospitalization. Twenty-eight potential sepsis-related risk factors for mortality were identified. Least absolute shrinkage and selection operator (LASSO) regression was used to optimize variable selection by running cyclic coordinate descent with k-fold (tenfold in this case) cross-validation. We used binary logistic regression to build a model for predicting mortality from the variables based on LASSO regression selection. Binary logistic regression was used to establish a nomogram based on independent mortality risk factors. To validate the prediction accuracy of the nomogram, receiver operating characteristic curve (ROC) analysis, decision curve analysis (DCA) and restricted cubic spline (RCS) analysis were employed. Eventually, the Hosmer-Lemeshow test and calibration curve were used for nomogram calibration.

Results

LASSO regression identified a total of ten factors, namely, chronic heart disease (CHD), lymphocyte count (LYMP), neutrophil-lymphocyte ratio (NLR), red blood cell distribution width (RDW), C reactive protein (CRP), Procalcitonin (PCT), lactic acid, prothrombin time (PT), alanine aminotransferase (ALT), total bilirubin (Tbil), interleukin-6 (IL6), that were incorporated into the multivariable analysis. Finally, a nomogram including CHD, LYMP, NLR, RDW, lactic acid, PT, CRP, PCT, Tbil, ALT, and IL6 was established by multivariable logistic regression. The ROC curves of the nomogram in the training and validation sets were 0.9836 and 0.9502, respectively. DCA showed that the nomogram could be applied clinically if the risk threshold was between 29.52 and 99.61% in the training set and between 31.32 and 98.49% in the testing set. RCS showed that when the value of independent risk factors from the predicted model exceeded the median, the mortality hazard ratio increased sharply. The results of the Hosmer-Lemeshow test (χ2 = 0.1901, df = 2, p = 0.9091) and the calibration curves of the training and validation sets showed good agreement with the actual results, which indicated good stability of the model.

Conclusion

Our nomogram, including CHD, LYMP, NLR, RDW, lactic acid, PT, CRP, PCT, Tbil, ALT, and IL6, exhibits good performance for predicting mortality risk in adult sepsis patients.

Association of red blood cell distribution width with hospital admission and in-hospital mortality across all-cause adult emergency department visits

Objectives

To test the association between the initial red blood cell distribution width (RDW) value in the emergency department (ED) and hospital admission and, among those admitted, in-hospital mortality.

Materials and Methods

We perform a retrospective analysis of 210 930 adult ED visits with complete blood count results from March 2013 to February 2022. Primary outcomes were hospital admission and in-hospital mortality. Variables for each visit included demographics, comorbidities, vital signs, basic metabolic panel, complete blood count, and final diagnosis. The association of each outcome with the initial RDW value was calculated across 3 age groups (<45, 45-65, and >65) as well as across 374 diagnosis categories. Logistic regression (LR) and XGBoost models using all variables excluding final diagnoses were built to test whether RDW was a highly weighted and informative predictor for each outcome. Finally, simplified models using only age, sex, and vital signs were built to test whether RDW had additive predictive value.

Results

Compared to that of discharged visits (mean [SD]: 13.8 [2.03]), RDW was significantly elevated in visits that resulted in admission (15.1 [2.72]) and, among admissions, those resulting in intensive care unit stay (15.3 [2.88]) and/or death (16.8 [3.25]). This relationship held across age groups as well as across various diagnosis categories. An RDW >16 achieved 90% specificity for hospital admission, while an RDW >18.5 achieved 90% specificity for in-hospital mortality. LR achieved a test area under the curve (AUC) of 0.77 (95% confidence interval [CI] 0.77-0.78) for hospital admission and 0.85 (95% CI 0.81-0.88) for in-hospital mortality, while XGBoost achieved a test AUC of 0.90 (95% CI 0.89-0.90) for hospital admission and 0.96 (95% CI 0.94-0.97) for in-hospital mortality. RDW had high scaled weights and information gain for both outcomes and had additive value in simplified models predicting hospital admission.

Discussion

Elevated RDW, previously associated with mortality in myocardial infarction, pulmonary embolism, heart failure, sepsis, and COVID-19, is associated with hospital admission and in-hospital mortality across all-cause adult ED visits. Used alone, elevated RDW may be a specific, but not sensitive, test for both outcomes, with multivariate LR and XGBoost models showing significantly improved test characteristics.

Conclusions

RDW, a component of the complete blood count panel routinely ordered as the initial workup for the undifferentiated patient, may be a generalizable biomarker for acuity in the ED.

Association between hemoglobin-to-red blood cell distribution width ratio and hospital mortality in patients with non-traumatic subarachnoid hemorrhage

Background

In patients with ischemic stroke, low hemoglobin-to-red blood cell distribution width ratio (HRR) was associated with an increased risk of mortality. However, it was unknown in the non-traumatic subarachnoid hemorrhage (SAH) population. The purpose of this study was to examine the association between baseline HRR and in-hospital mortality in patients with non-traumatic SAH.

Methods

Non-traumatic SAH patients were screened out of the Medical Information Mart for Intensive IV (MIMIC-IV) database between 2008 and 2019. The Cox proportional hazard regression models were utilized to analyze the association between baseline HRR and in-hospital mortality. Restricted cubic splines (RCS) analysis was utilized to determine the relationship curve between hospital mortality and the HRR level and examine the threshold saturation effect. We further applied Kaplan-Meier survival curve analysis to examine the consistency of these correlations. The interaction test was used to identify subgroups with differences.

Results

A total of 842 patients were included in this retrospective cohort study. Compared with individuals with lower HRR Q1 ( ≤ 7.85), the adjusted HR values in Q2 (7.86-9.15), Q3 (9.16-10.16), and Q4 (≥10.17) were 0.574 (95% CI: 0.368-0.896, p = 0.015), 0.555 (95% CI: 0.346-0.890, p = 0.016), and 0.625 (95% CI: 0.394-0.991, p = 0.045), respectively. The association between the HRR level and in-hospital mortality exhibited a non-linear relationship (p < 0.05). The threshold inflection point value of 9.50 was calculated using RCS analysis. When the HHR level was lower than 9.50, the risk of in-hospital mortality rate decreased with an adjusted HR of 0.79 (95% CI: 0.70-0.90, p = 0.0003). When the HRR level was higher than 9.50, the risk of in-hospital mortality almost hardly increased with the increase in the HRR level (adjusted HR = 1.18, 95% CI: 0.91-1.53, p = 0.2158). K-M analysis showed that patients with low HRR levels had significantly higher in-hospital mortality (p < 0.001).

Conclusion

There was a non-linear connection between the baseline HRR level and in-hospital mortality. A low level of HRR could increase the risk of death in participants with non-traumatic SAH.

Predictive Value of Red Blood Cell Distribution Width, Platelet Count to Lymphocyte Count Ratio, and Neutrophil Count to Lymphocyte Count Ratio Values for the Detection of Postoperative Infection in Patients Undergoing Liver Transplantation

BACKGROUND

The red blood cell distribution width (RDW) value is a simple and fast parameter that shows an elevation in the presence of infectious disease. It is thought that proinflammatory signals cause changes in the cell wall of the erythrocytes. In our study, we aimed to investigate the prognostic value of RDW and other parameters in patients undergoing liver transplantation.

METHODS

We retrospectively investigated 200 patients who underwent liver transplantation (LT) in our center. The study group was 100 patients who underwent LT and developed a postoperative abdominal or catheter-related infection in the early period between the first and second weeks of hospitalization. The control group comprises 100 patients who underwent LT and were discharged without complications. In 4 different periods, inflammatory markers and RDW, platelet count to lymphocyte count ratio, and neutrophil count to lymphocyte count ratio (NLR) values were compared in the 2 groups.

RESULTS

In our study, we found RDW and NLR parameters to be elevated in correlation with infection in patients who underwent LT (P < .05). Other markers were elevated but not significantly correlated with infection.

CONCLUSIONS

These parameters can be simple and effective additional tools to implement in patients suspected of infection. Further prospective studies with larger patient groups and varying infection states are required for validating RDW and NLR as additional diagnostic markers.

Investigating the potential of a prematurely aged immune phenotype in severely injured patients as predictor of risk of sepsis

BACKGROUND

Traumatic injury elicits a hyperinflammatory response and remodelling of the immune system leading to immuneparesis. This study aimed to evaluate whether traumatic injury results in a state of prematurely aged immune phenotype to relate this to clinical outcomes and a greater risk of developing additional morbidities post-injury.

METHODS AND FINDINGS

Blood samples were collected from 57 critically injured patients with a mean Injury Severity Score (ISS) of 26 (range 15-75 years), mean age of 39.67 years (range 20-84 years), and 80.7% males, at days 3, 14, 28 and 60 post-hospital admission. 55 healthy controls (HC), mean age 40.57 years (range 20-85 years), 89.7% males were also recruited. The phenotype and frequency of adaptive immune cells were used to calculate the IMM-AGE score, an indicator of the degree of phenotypic ageing of the immune system. IMM-AGE was elevated in trauma patients at an early timepoint (day 3) in comparison with healthy controls (p < 0.001), driven by an increase in senescent CD8 T cells (p < 0.0001), memory CD8 T cells (p < 0.0001) and regulatory T cells (p < 0.0001) and a reduction in naïve CD8 T cells (p < 0.001) and overall T cell lymphopenia (p < 0 .0001). These changes persisted to day 60. Furthermore, the IMM-AGE scores were significantly higher in trauma patients (mean score 0.72) that developed sepsis (p = 0.05) in comparison with those (mean score 0.61) that did not.

CONCLUSIONS

The profoundly altered peripheral adaptive immune compartment after critical injury can be used as a potential biomarker to identify individuals at a high risk of developing sepsis and this state of prematurely aged immune phenotype in biologically young individuals persists for up to two months post-hospitalisation, compromising the host immune response to infections. Reversing this aged immune system is likely to have a beneficial impact on short- and longer-term outcomes of trauma survivors.

Diagnostic value of RDW for the prediction of mortality in adult sepsis patients: A systematic review and meta-analysis

Background

Red blood cell distribution width (RDW) is a common biomarker of bacterial infections, and it can be easily obtained from a routine blood test. We investigate the diagnostic value of RDW for the prediction of mortality in adult sepsis patients through a review and meta-analysis. We registered this review in PROSPERO (Registration Number: CRD42022357712), and the details of the registration are included in Appendix 1.

Methods

We searched PubMed, Cochrane Library, Springer, and Embase between Jan. 1, 2000, and May 30, 2022, for primary studies about this research. We collected articles that investigated RDW for varying degrees of sepsis patients—those who suffered from sepsis, severe sepsis, or sepsis shock. Studies of healthy people and sepsis of children and neonates were excluded from our research. The definition of study characteristics and data extraction were finished by two independent researchers and discrepancies resolved by consensus. The combined sensitivities and specificities were calculated by meta-analysis using STATA14.0. The sensitivity of the included studies was analyzed by excluding studies that had potential heterogeneity. A summary operating characteristic curve was made to evaluate the diagnostic value for the prediction of mortality in adult sepsis patients. The Fagan test was used to explore likelihood ratios and posttest probabilities. Finally, we investigated the source of heterogeneity using meta-regression.

Results

Twenty-four studies, including 40,763 cases altogether, were included in this analysis. Bivariate analysis indicated a combined sensitivity of 0.81 (95% CI 0.73–0.86) and specificity of 0.65 (95% CI 0.54–0.75). The area under the summary receiver operating characteristic curve was 0.81 (95% CI 0.77–0.84). Substantial heterogeneity resided in the studies (I^{2 =}96.68, 95% CI 95.95–97.4). Meta-regression showed that the reference description, prospective design, and blinded interpretation of the included studies could be responsible for the heterogeneity.

Conclusions

RWD is an available and valuable biomarker for prediction of mortality in adult sepsis patients.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022357712.

Red blood cell distribution width as prognostic factor in sepsis: A new use for a classical parameter

PURPOSE

To evaluate Red blood cell distribution width (RDW) as a sepsis prognostic biomarker.

METHODS

203 septic patients admitted to the ICU. Analysis of RDW dynamics, hospital mortality discrimination ability and the added value when incorporated to the SOFA, LODS, SAPS-II and APACHE-II scores using the AUC-ROC.

RESULTS

Non-survivors presented higher RDW values during the first week after ICU admission (p = 0.048). Only SOFA and RDW were independently associated with mortality when adjusted by Charlson, immunosuppression, nosocomial infection, NEWS2, SAPS-II, septic shock and haemoglobin (p < 0.05). After adjustment, AUC-ROC was 0.827, 0.822, 0.824, 0.834 and 0.812 for each model including admission, 24, 48 and 72-h and 7-days RDW, respectively. When added to the scores, 24-h RDW and admission RDW improved their discrimination ability (SOFA AUC-ROC = 0.772 vs 0.812 SOFA + admission RDW, p = 0.041; LODS AUC-ROC = 0.687 vs 0.710, p = 0.002; SAPS-II AUC-ROC = 0.734 vs 0.785, p = 0.021; APACHE-II AUC-ROC = 0.672 vs 0.755, p = 0.003). Admission RDW with SOFA presented the better discrimination ability for mortality.

CONCLUSION

RDW is an independent prognostic marker of death in septic patients admitted in the ICU that improves SOFA, LODS, APACHE-II and SAPS-II discrimination ability. This parameter could be incorporated to the prognostic scores as a marker of systemic dysfunction and dysregulated inflammatory response.

Prevalence and outcome of sepsis in respiratory intensive care unit

Background

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to an infection.

Objective

To assess the prevalence and outcome of sepsis in RICU

Patients and methods

The study was conducted upon 403 patients admitted at RICU of the Abbassia Chest Hospital, Cairo, Egypt; 100 of them had sepsis either on admission or acquired in the RICU during the period from May 2019 to November 2019. Severity of illness was assessed by Acute Physiology and Chronic Health Evaluation II (APACHE II score), which was recorded within 24 h from patient admission. Quick sepsis-related organ failure assessment (qSOFA) score was recorded in emergency room, and sepsis-related organ failure assessment (SOFA) score was recorded on ICU admission and on the 3rd and 7th day of ICU stay. Type of infection (community or hospital acquired), infection site, and pathogenic organisms, all were recorded. Assessment was done also regarding mechanical ventilation, length of RICU stay, the presence of comorbidities, survived patients, and dead ones, as regards causes of death and risk factors.

Results

The study included 100 cases with sepsis out of 403 admitted cases in the same duration with frequency 24%. Among sepsis patients, 72% were males and 28%were females, with mean age 51.62 ± 18.62 years. The main diagnosis was pneumonia (62%), and the main comorbidity was diabetes mellitus (23%). There was significant increase in age among non-survivors when compared with survivors. There was significant increase in number of mechanically ventilated patients and a highly significant incidence of complications and need for vasoactive drugs among non-survivors when compared with survivors. There was a highly significant higher APACHE II score on the 1st day of admission among non-survivor patients. The SOFA score was significantly higher on the 1st day of admission and significantly higher on the 3rd and 7th day of admission among non-survivor patients when compared to survived patients.

Conclusion

The current study showed that sepsis affects nearly one quarter of cases admitted at RICU, and it is usually associated with higher mortality rate in those patients.

Trial registration

ClinicalTrials.gov NCT05240157. Registered February 15, 2022. Retrospectively registered.

Diagnostic accuracy of red blood cell distribution width for neonatal sepsis

INTRODUCTION

Red blood cell distribution width (RDW) is a biomarker for the diagnosis and prognosis of many diseases. However, the relevance between RDW and neonatal sepsis (NS) have not reached a consensus yet; the perform of RDW in the diagnosis of neonatal sepsis is still not clear. The aim of this meta-analysis was to estimate the significance of RDW in neonatal sepsis and the perform of RDW in diagnosis of neonatal sepsis.

EVIDENCE ACQUISITION

We used Pubmed, Embase, Web of science, CNKI and Google academic database to find all articles that met the inclusion criteria until July 1, 2020.

EVIDENCE SYNTHESIS

Fifteen eligible studies involving 1362 newborns were included in the meta-analysis after two independent investigators read the title, abstract and full text in detail. The pooled result of this meta-analysis showed that RDW was significantly higher in the NS group than in the control group (WMD=3.224; 95%CI: 2.359-4.090, P<0.001). In addition, the overall pooled sensitivity, specificity, PLR, NLR and DOR were 0.88 (95%CI:0.66-0.96), 0.90 (95%CI:0.65-0.98), 9.2 (95%CI:2.1-40.3), 0.14(95%CI:0.04-0.43) and 66.9 (95%CI:8.73-513.26), respectively. The area under the SROC curve (AUC) was 0.95 (95%CI:0.93-0.96).

CONCLUSIONS

The meta-analysis demonstrated that newborns with sepsis had an elevated RDW level than healthy controls. RDW levels have significant correlated with neonatal sepsis; and RDW can be used as a cheap and satisfactory diagnostic biomarker for neonatal sepsis with a relatively high performance.

Factors associated with in-hospital mortality in adult sepsis with Escherichia coli infection

Background

Escherichia coli (E. coli) is an important pathogen in sepsis. This study aimed to explore the factors which were associated with in-hospital mortality in adult sepsis with E. coli infection based on a public database.

Methods

All sepsis patients with E. coli infection in MIMIC-III were included in this study. Clinical characteristics between the survivor and non-survivor groups were analyzed. Factors associated with in-hospital mortality were identified by multivariate logistic regression.

Results

A total of 199 patients were eventually included and divided into two groups: a survivor group (n = 167) and a non-survivor group (n = 32). RDW and HCT were identified as the factors with clinical outcomes. The area under the ROC curve (AUC) were 0.633 and 0.579, respectively. When combined RDW and HCT for predicting in-hospital mortality, the AUC was 0.772, which was significantly superior to SOFA and APACHEII scores.

Conclusion

RDW and HCT were identified as factors associated with in-hospital mortality in adult sepsis patients with E. coli infection. Our findings will be of help in early and effective evaluation of clinical outcomes in those patients.

Can red cell distribution width in very low birth weight infants predict bronchopulmonary dysplasia?

Red cell distribution width (RDW) is a useful marker for assessing the severity and prognosis of various diseases in adults. However, whether it is applicable to children, especially in newborns, has not been determined.This study aimed to investigate the RDW values of preterm infants and evaluate whether RDW values in the early days of life can predict bronchopulmonary dysplasia (BPD) development.One hundred and eight infants born at <30 weeks of gestation with a birth weight of <1500 g participated in this retrospective study. RDW values measured at birth, 7 days (D7), and 28 days (D28) after birth were reviewed. The changes in RDW values in the first month of life were analyzed, and we evaluated the relationship between RDW and BPD.The mean RDW values at birth, D7, D28 and the change from birth to D7 were 16.2 ± 0.1%, 17.5 ± 0.2%, 17.6 ± 0.2% and 1.3 ± 1.8%, respectively. RDW at birth was lower in the infants born at <28 weeks' gestational age than in those born at ≥28 weeks' gestational age (15.7 ± 0.3 vs 16.4 ± 0.2, P = .024). RDW values of both groups increased during the first week after birth and did not differ significantly at D7. The levels remained similar at 1 month of age. RDW at birth, D7, and D28 and the changes in RDW from birth to D7 were not correlated with the development of BPD independent of its severity.The usefulness of RDW as a predictor of BPD development remains questionable and requires further study.

Prognostic biomarkers in predicting mortality in respiratory patients with ventilator-associated pneumonia

Background

Ventilator-associated pneumonia (VAP) is the most common nosocomial infection. Red cell distribution width (RDW) and neutrophil-lymphocyte ratio (NLR) are prognostic factors to mortality in different diseases. The aim of this study is to evaluate prognostic efficiency RDW, NLR, and the Sequential Organ Failure Assessment (SOFA) score for mortality prediction in respiratory patients with VAP.

Results

One hundred thirty-six patients mechanically ventilated and developed VAP were included. Clinical characteristics and SOFA score on the day of admission and at diagnosis of VAP, RDW, and NLR were assessed and correlated to mortality. The average age of patients was 58.80 ± 10.53. These variables had a good diagnostic performance for mortality prediction AUC 0.811 for SOFA at diagnosis of VAP, 0.777 for RDW, 0.728 for NLR, and 0.840 for combined of NLR and RDW. The combination of the three parameters demonstrated excellent diagnostic performance (AUC 0.889). A positive correlation was found between SOFA at diagnosis of VAP and RDW (r = 0.446, P < 0.000) and with NLR (r = 0.220, P < 0.010).

Conclusions

NLR and RDW are non-specific inflammatory markers that could be calculated quickly and easily via routine hemogram examination. These markers have comparable prognostic accuracy to severity scores. Consequently, RDW and NLR are simple, yet promising markers for ICU physicians in monitoring the clinical course, assessment of organ dysfunction, and predicting mortality in mechanically ventilated patients. Therefore, this study recommends the use of blood biomarkers with the one of the simplest ICU score (SOFA score) in the rapid diagnosis of critical patients as a daily works in ICU.

Initial red cell distribution width as a predictor of poor neurological outcomes in out-of-hospital cardiac arrest survivors in a prospective, multicenter observational study (the KoCARC study)

This study aimed to investigate whether the initial red cell distribution width (RDW) at the emergency department (ED) is associated with poor neurological outcomes in out-of-hospital cardiac arrest (OHCA) survivors. We performed a prospective observational analysis of patients admitted to the ED between October 2015 and June 2018 from the Korean Cardiac Arrest Research Consortium registry. We included OHCA patients who visited the ED and achieved return of spontaneous circulation. Initial RDW values were measured at the time of the ED visit. The primary outcome was a poor neurological (Cerebral Performance Category, or CPC) score of 3–5. A total of 1008 patients were ultimately included in this study, of whom 712 (70.6%) had poor CPC scores with unfavorable outcomes. Higher RDW quartiles (RDW 13.6–14.9%, RDW ≥ 15.0%), older age, female sex, nonshockable initial rhythm at the scene, unwitnessed cardiac arrest, bystander cardiopulmonary resuscitation (CPR), medical history, low white blood cell counts and high glucose levels were associated with poor neurological outcomes in univariate analysis. In multivariate analysis, the highest RDW quartile was independently associated with poor neurological outcomes (odds ratio 2.04; 95% confidence interval 1.12–3.69; p = 0.019) at hospital discharge after adjusting for other confounding factors. Other independent factors including age, initial rhythm, bystander CPR and high glucose were also associated with poor neurological outcomes. These results show that an initial RDW in the highest quartile as of the ED visit is associated with poor neurological outcomes at hospital discharge among OHCA survivors.

High red blood cell distribution width is associated with a risk of short-term mortality in hospitalized surgical, but not clinical patients

BACKGROUND & AIMS

The distribution width of red blood cells (RDW) is a known factor risk for mortality. However, the association between high RDW and short-term mortality in surgical patients is poorly understood. The aim of this study was to evaluate the association of high RDW with all-cause in-hospital mortality, in surgical and non-surgical patients.

METHODS

A retrospective study was performed with patients aged 18 years or older, hospitalized in Clinical Medical and Surgery wards, using adjustments based on a conceptual model. Cox regression was used to determine the independent predictors of in-hospital mortality. The RDW cutoff value was 13.6%.

RESULTS

Of the 2923 patients, 46.1% were over 60 years old, 58.7% were male and 4.7% died. The area under the ROC curve was 0.677 (CI 95%: 0.619-0.712). RDW was associated with an adjusted risk for all-cause in-hospital mortality in surgical (HR 1.17 - CI 95%: 1.03-1.32), but not in clinical patients. For every 1% increase in RDW, the risk of all-cause hospital death in surgical patients increased by 17%. RDW ≥13.6% was associated with an adjusted risk of all cause in-hospital mortality in surgical (HR 2.65 - 95%CI: 1.22-5.73), but not in clinical patients.

CONCLUSIONS

High RDW was associated with a risk of in-hospital mortality independent of age, sex, hemoglobin level, multimorbidity, nutritional status and immunological condition. We therefore recommend the use of RDW as a possible marker of mortality risk in clinical practice in surgical patients.

Prognostic role of red blood cell distribution width in patients with sepsis: a systematic review and meta-analysis

Background

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.

Methods

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.

Results

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%, P_{heterogeneity} < 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.

Conclusions

For patients with sepsis, baseline RDW may be a useful predictor of mortality, patients with increased RDW are more likely to have higher mortality.

The prognostic value of red blood cell distribution width in patients with suspected infection in the emergency department

Background

Sepsis is a potential life threatening dysregulated immune response to an infection, which can result in multi-organ failure and death. Unfortunately, good prognostic markers are lacking in patients with suspected infection to identify those at risk. Red blood cell distribution width (RDW) is a common and inexpensive hematologic laboratory measurement associated with adverse prognosis in multiple diseases. The aim of this study was to determine the prognostic value of RDW for mortality and early clinical deterioration in patients with a suspected infection in the emergency department.

Methods

In this single center prospective observational cohort study, consecutive patients with suspected infection presenting for internal medicine in the emergency department between September 2016 and March 2018 were included. For prognostic validation of bedside sepsis scores and RDW receiver operating characteristics were generated. Association between RDW and mortality and ICU admission was analyzed univariate and in a multivariate logistic regression model.

Results

1046 patients were included. In multivariate analyses, RDW was significantly associated with 30-day mortality (OR 1.15, 95% CI: 1.04–1.28) and early clinical deterioration (OR 1.09, 95% CI: 1.00–1.18). For 30-day mortality RDW had an AUROC of 0.66 (95% CI 0.59–0.72). Optimal cut-off value for RDW 2 was 12.95%. For early clinical deterioration RDW had an AUROC of 0.59 (95% CI 0.54–0.63) with an optimal cut-off value of 14.48%.

Conclusions

RDW was found to be a significant independent prognostic factor of 30-day mortality and early clinical deterioration in patients with suspected infection.. Therefore it can be a used as an extra marker besides bedside sepsis scores in identifying patients at risk for worse outcome in patients with suspected infection.

Red cell distribution width as a predictor of multiple organ dysfunction syndrome in patients undergoing heart valve surgery

The aim of the study was to evaluate the prognostic value of red cell distribution width (RDW) for multiple organ dysfunction syndrome (MODS) in the early postoperative period in patients undergoing valve replacement or repair surgery. A prospective study was conducted on a group of 713 patients with haemodynamically significant valvular heart disease who underwent elective valvular surgery. The primary end-point at the 30-day follow-up was postoperative MODS. The secondary end-point was death from all causes in patients with MODS. The postoperative MODS occurred in 72 patients. At multivariate analysis: RDW (OR 1.267; 95% CI 1.113-1.441; P=0.0003), creatinine (OR 1.007; 95% CI 1.001-1.013; P=0.02) and age (OR 1.047; 95% CI 1.019-1.077; P=0.001) remained independent predictors of the primary end-point. Receiver operator characteristics analysis determined a cut-off value of RDW for the prediction of the occurrence of the perioperative MODS at 14.3%. RDW (OR 1.448; 95% CI 1.057-1.984; P=0.02) and age (OR 1.057; 95% CI 1.007-1.117; P=0.04) were associated with an increased risk of death in patients with perioperative MODS. Elevated RDW is associated with a higher risk of MODS and death in patients with MODS following heart valve surgery.

Prognostic significance of red cell distribution width in esophageal squamous cell carcinoma

BACKGROUND

Red cell distribution width (RDW) is routinely assessed as part of the complete blood count (CBC) to gather information on the heterogeneity in the size of circulating erythrocytes. RDW is a more sensitive screening marker for anemia, inflammation, and nutritional deficiencies. The purpose of this study was to explore the prognostic value of RDW in esophageal squamous cell carcinoma (ESCC) patients.

METHODS

We conducted a retrospective study of data from 148 ESCC consecutive patients who underwent potentially curative esophagectomy and analyzed the correlation of RDW with various clinicopathological factors.

RESULTS

Multivariate analyses identified a high RDW (HR, 2.061; P = 0.0286) as a significant risk factor for cancer-specific survival (CSS). Kaplan-Meier analysis and the log-rank test demonstrated that patients with a high RDW had a significantly worse prognosis in terms of CSS than those with a low RDW (P = 0.0011). In multivariate analysis, there was no significant relationship between RDW and CSS in pathological tumor node metastasis stage I or II patients. However, a high RDW (HR, 2.386; P = 0.0471) was confirmed to be an independent worse prognostic factor for CSS in pathological tumor node metastasis stage III cancer patients. Kaplan-Meier analysis and the log-rank test showed a significant relationship between RDW and CSS in patients with pathological tumor node metastasis stage III (P = 0.0175).

CONCLUSIONS

The RDW was a significant and independent predictor of poor survival in ESCC patients after curative esophagectomy. RDW may aid clinicians in detecting signs of recurrence very early and effectively customize treatment regimens. RDW is thus a convenient, cost-effective, and readily available biomarker to predict survival in ESCC.

Preoperative Red Cell Distribution Width and 30-day mortality in older patients undergoing non-cardiac surgery: a retrospective cohort observational study

Increased red cell distribution width (RDW) is associated with poorer outcomes in various patient populations. We investigated the association between preoperative RDW and anaemia on 30-day postoperative mortality among elderly patients undergoing non-cardiac surgery. Medical records of 24,579 patients aged 65 and older who underwent surgery under anaesthesia between 1 January 2012 and 31 October 2016 were retrospectively analysed. Patients who died within 30 days had higher median RDW (15.0%) than those who were alive (13.4%). Based on multivariate logistic regression, in our cohort of elderly patients undergoing non-cardiac surgery, moderate/severe preoperative anaemia (aOR 1.61, p = 0.04) and high preoperative RDW levels in the 3rd quartile (>13.4% and ≤14.3%) and 4th quartile (>14.3%) were significantly associated with increased odds of 30-day mortality - (aOR 2.12, p = 0.02) and (aOR 2.85, p = 0.001) respectively, after adjusting for the effects of transfusion, surgical severity, priority of surgery, and comorbidities. Patients with high RDW, defined as >15.7% (90th centile), and preoperative anaemia have higher odds of 30-day mortality compared to patients with anaemia and normal RDW. Thus, preoperative RDW independently increases risk of 30-day postoperative mortality, and future risk stratification strategies should include RDW as a factor.

Red cell distribution width and its association with mortality in neonatal sepsis

OBJECTIVE

Neonatal sepsis is a major cause of mortality in the developing countries. However, with current severity scores and laboratory parameters, predicting outcomes of neonatal sepsis is a serious challenge. Red cell distribution width (RDW) is a readily available pragmatic means to predict outcomes of various comorbidities in adults and children, without causing any additional blood loss. However, its utility in neonates remains unexplored. Hence, the objective of the present study was to evaluate the association of RDW with neonatal sepsis and its role as a predictive marker for mortality.

METHODS

This Prospective observational study was carried out in a Level IIIB NICU for a period of 3 years. It involved comparison of RDW values of septic neonates with those of controls (matched for gestational age and birth weight) with an equal allocation ratio. A total of 251 septic neonates along with 251 controls >28 weeks of gestational age were enrolled. The RDW was derived from complete blood count done within first 6 hours of life. After arranging the RDW (median; interquartile range (IQR)), the values were categorized as those above the 50th percentile i.e. ≥20% and those below the 50th percentile i.e. <20%. The cumulative survival rates of the above two groups were assessed using the Kaplan-Meier curve and the log rank test.

RESULTS

RDW levels were significantly higher among the neonatal sepsis cases (19.90%) as compared to the controls (18.90%) with a p value of < .001. RDW was significantly higher amongst the nonsurvivors than survivors (p < .003). Kaplan-Meier curve showed that septic neonates having RDW values ≥20% had significantly increased mortality (p < .02) with a hazard ratio of 0.5.

CONCLUSIONS

High RDW is associated with neonatal sepsis and is an independent outcome predictor for mortality associated with neonatal sepsis.

The Importance of Haemogram Parameters in the Diagnosis and Prognosis of Septic Patients

Sepsis represents a severe pathology that requires both rapid and precise positive and differential diagnosis to identify patients who need immediate antimicrobial therapy. Monitoring septic patients’ outcome leads to prolonged hospitalisation and antibacterial therapy, often accompanied by substantial side effects, complications and a high mortality risk.

Septic patients present with complex pathophysiological and immunological disorders and with a predominance of pro-inflammatory or anti-inflammatory mediators which are heterogeneous with respect to the infectious focus, the aetiology of sepsis or patients’ immune status or comorbidities. Previous studies performed have analysed inflammatory biomarkers, but a test or combinations of tests that can quickly and precisely establish a diagnosis or prognosis of septic patients has yet to be discovered. Recent research has focused on re-analysing older accessible parameters found in the complete blood count to determine the sensitivity, specificity, positive and negative predictive values for the diagnosis and prognosis of sepsis.

The neutrophil/lymphocyte count ratio (NLCR), mean platelet volume (MPV) and red blood cells distribution width (RDW) are haemogram indicators which have been evaluated and which are of proven use in septic patients’ management.

Neutrophil-to-lymphocyte ratio as a prognostic marker in critically-ill septic patients

BACKGROUND

We evaluated the associations between the neutrophil-to-lymphocyte ratio (NLR) or changes in NLR and outcomes in septic patients.

METHODS

Patients who met the criteria for severe sepsis or septic shock were categorized into five groups according to the quintile of initial NLR value. We defined two risk groups according to NLR value and changes in NLR during the first two days (defined as the persistently low NLR group and the persistently high NLR group). The primary outcome was 28-day mortality.

RESULTS

A total of 1395 patients were included. The median initial NLR values from Quintile 1 to Quintile 5 were as follows: 0.2 (IQR [interquartile range], 0.1-0.7), 3.4 (IQR, 2.6-4.7), 8.6 (IQR, 7.1-9.9), 15.4 (IQR, 13.3-17.8), and 31.0 (IQR, 24.6-46.8), respectively. The 28-day mortality values for the same groups were as follows: 24.4%, 12.2%, 11.1%, 11.8%, and 16.1% (P<.01). Cox regression analysis showed that inclusion in Quintile 1 or Quintile 5 was a significant risk factor predicting 28-day mortality compared to Quintile 3 (adjusted hazard ratio [HR]: 1.79 (95% confidence interval [CI], 1.15-2.78) in Quintile 1; 1.67 (95% CI, 1.04-2.66) in Quintile 5). The analysis indicated that persistently low NLR (adjusted HR: 2.25, 95% CI, 1.63-3.11) and persistently high NLR (adjusted HR: 2.65, 95% CI, 1.64-4.29) were significant risk factors.

CONCLUSIONS

In summary, the initial NLR measured at ED admission was independently associated with 28-day mortality in patients with severe sepsis and septic shock. In addition, change in NLR may prove to be a valuable prognostic marker.