Association between the red cell distribution width and mortality in elderly patients with non-traumatic coma: An observational cohort study

Elevated red blood cell distribution width (RDW) can be associated with disease severity. However, studies on RDW for the prognosis of elderly patients with non-traumatic coma (NTC) are lacking. This study aims to examine the relationship between RDW and outcomes in elderly patients with NTC. This observational cohort study included elderly patients (aged ≥ 65 years) with NTC between January 2022 and December 2022. We measured RDW upon patient arrival at the emergency department (ED). We conducted a multivariable analysis using logistic regression of relevant covariates to predict in-hospital mortality. Survival curves based on 30-day mortality were designed using the Kaplan-Meier method. The primary outcome was in-hospital mortality, and the secondary outcome was 30-day mortality. A total of 689 patients were included in the study, and in-hospital mortality was 29.6% (n = 204). Our results found that the RDWs of non-survivors were significantly greater than those of survivors (14.6% vs 13.6%). Multivariable analysis showed that RDWs at ED arrival were independently associated with in-hospital mortality (odds ratio, 1.126; 95% confidence interval, 1.047-1.212; P < .001). The Kaplan-Meier curve indicated that the survival probability of patients with a low RDW was greater than those with a high RDW. Having a high RDW at ED arrival was associated with in-hospital mortality in elderly patients with NTC.

Association of inflammatory indicators with intensive care unit mortality in critically ill patients with coronary heart disease

Objective

Coronary heart disease (CHD) is one of the major cardiovascular diseases, a common chronic disease in the elderly and a major cause of disability and death in the world. Currently, intensive care unit (ICU) patients have a high probability of concomitant coronary artery disease, and the mortality of this category of patients in the ICU is receiving increasing attention. Therefore, the aim of this study was to verify whether the composite inflammatory indicators are significantly associated with ICU mortality in ICU patients with CHD and to develop a simple personalized prediction model.

Method

7115 patients from the Multi-Parameter Intelligent Monitoring in Intensive Care Database IV were randomly assigned to the training cohort (n = 5692) and internal validation cohort (n = 1423), and 701 patients from the eICU Collaborative Research Database served as the external validation cohort. The association between various inflammatory indicators and ICU mortality was determined by multivariate Logistic regression analysis and Cox proportional hazards model. Subsequently, a novel predictive model for mortality in ICU patients with CHD was developed in the training cohort and performance was evaluated in the internal and external validation cohorts.

Results

Various inflammatory indicators were demonstrated to be significantly associated with ICU mortality, 30-day ICU mortality, and 90-day ICU mortality in ICU patients with CHD by Logistic regression analysis and Cox proportional hazards model. The area under the curve of the novel predictive model for ICU mortality in ICU patients with CHD was 0.885 for the internal validation cohort and 0.726 for the external validation cohort. The calibration curve showed that the predicted probabilities of the model matched the actual observed probabilities. Furthermore, the decision curve analysis showed that the novel prediction model had a high net clinical benefit.

Conclusion

In ICU patients with CHD, various inflammatory indicators were independent risk factors for ICU mortality. We constructed a novel predictive model of ICU mortality risk in ICU patients with CHD that had great potential to guide clinical decision-making.

Development and Validation of a Dynamic Nomogram for Predicting in-Hospital Mortality in Patients with Acute Pancreatitis: A Retrospective Cohort Study in the Intensive Care Unit

Purpose

The aim of this study is to develop and validate a predictive model for the prediction of in-hospital mortality in patients with acute pancreatitis (AP) based on the intensive care database.

Patients and Methods

We analyzed the data of patients with AP in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and Electronic Intensive Care Unit Collaborative Research Database (eICU-CRD). Then, patients from MIMIC-IV were divided into a development group and a validation group according to the ratio of 8:2, and eICU-CRD was assigned as an external validation group. Univariate logistic regression and least absolute shrinkage and selection operator regression were used for screening the best predictors, and multivariate logistic regression was used to establish a dynamic nomogram. We evaluated the discrimination, calibration, and clinical efficacy of the nomogram, and compared the performance of the nomogram with Acute Physiology and Chronic Health Evaluation II (APACHE-II) score and Bedside Index of Severity in AP (BISAP) score.

Results

A total of 1030 and 514 patients with AP in MIMIC-IV database and eICU-CRD were included in the study. After stepwise analysis, 8 out of a total of 37 variables were selected to construct the nomogram. The dynamic nomogram can be obtained by visiting https://model.sci-inn.com/KangZou/. The area under receiver operating characteristic curve (AUC) of the nomogram was 0.859, 0.871, and 0.847 in the development, internal, and external validation set respectively. The nomogram had a similar performance with APACHE-II (AUC = 0.841, p = 0.537) but performed better than BISAP (AUC = 0.690, p = 0.001) score in the validation group. Moreover, the calibration curve presented a satisfactory predictive accuracy, and the decision curve analysis suggested great clinical application value of the nomogram.

Conclusion

Based on the results of internal and external validation, the nomogram showed favorable discrimination, calibration, and clinical practicability in predicting the in-hospital mortality of patients with AP.

Elevated red blood cell distribution width levels predict depression after intracerebral hemorrhage: A 3-month follow-up study

Objectives

Inflammation vitally impacts the progression of depression resulting from intracerebral hemorrhage (ICH), while red blood cell distribution width (RDW) marks inflammatory-related diseases. The present study aimed at evaluating how RDW affects depression after ICH.

Methods

From prospective analyses of patients admitted to our department between January 2017 and September 2022, ICH patients with complete medical records were evaluated. The 17-item Hamilton Depression (HAMD-17) scale was used for measuring the depressive symptoms at 3 months after ICH. Diagnosis of post-ICH depression was conducted for patients based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) criteria.

Results

A total of 438 patients were enrolled in the study, out of which 93 (21.23%) patients had PSD at the 3-month follow-up. Accordingly, patients with depression had higher RDW levels (13.70 [IQR: 13.56–13.89] vs.13.45 [IQR: 12.64–13.75], p &lt; 0.001) at admission compared with those without depression. In multivariate analyses, RDW was used for independently predicting the depression after ICH at 3 months (OR: 2.832 [95% CI: 1.748–4.587], p &lt; 0.001). After adjusting the underlying confounding factors, the odds ratio (OR) of depression after ICH was 4.225 (95% CI: 1.686–10.586, p = 0.002) for the highest tertile of RDW relative to the lowest tertile. With an AUC of 0.703 (95% CI: 0.649–0.757), RDW demonstrated a significantly better discriminatory ability relative to CRP and WBC. RDW as an indicator for predicting depression after ICH had an optimal cutoff value of 13.68, and the sensitivity and specificity were 63.4% and 64.6%, respectively.

Conclusions

Elevated RDW level predicted post-ICH depression at 3 months, confirming RDW as an effective inflammatory marker for predicting depression after ICH.

A combined preoperative red cell distribution width and carcinoembryonic antigen score contribute to prognosis prediction in stage I lung adenocarcinoma

AIMS

Hematological markers that can be used for prognosis prediction for stage I lung adenocarcinoma (LUAD) are still lacking. Here, we examined the prognostic value of a combination of the red cell distribution width (RDW) and carcinoembryonic antigen (CEA), namely, the RDW-CEA score (RCS), in stage I LUAD.

MATERIALS AND METHODS

A retrospective study with 154 patients with stage I LUAD was conducted. Patients were divided into RCS 1 (decreased RDW and CEA), RCS 2 (decreased RDW and increased CEA, increased RDW and decreased CEA), and RCS 3 (increased RDW and CEA) subgroups based on the best optimal cutoff points of RDW and CEA for overall survival (OS). The differences in other clinicopathological parameters among RCS subgroups were calculated. Disease-free survival (DFS) and OS among these groups were determined by Kaplan-Meier analysis, and risk factors for outcome were calculated by a Cox proportional hazards model.

RESULTS

Seventy, 65, and 19 patients were assigned to the RCS 1, 2, and 3 subgroups, respectively. Patients ≥ 60 years (P < 0.001), male sex (P = 0.004), T₂ stage (P = 0.004), and IB stage (P = 0.006) were more significant in the RCS 2 or 3 subgroups. The RCS had a good area under the curve (AUC) for predicting DFS (AUC = 0.81, P < 0.001) and OS (AUC = 0.93, P < 0.001). The DFS (log-rank = 33.26, P < 0.001) and OS (log-rank = 42.05, P < 0.001) were significantly different among RCS subgroups, with RCS 3 patients displaying the worst survival compared to RCS 1 or 2 patients. RCS 3 was also an independent risk factor for both DFS and OS.

CONCLUSIONS

RCS is a useful prognostic indicator in stage I LUAD patients, and RCS 3 patients have poorer survival. However, randomized controlled trials are needed to validate our findings in the future.

Development and validation of a survival prediction model in elder patients with community-acquired pneumonia: a MIMIC-population-based study

BACKGROUND

To develop a prediction model predicting in-hospital mortality of elder patients with community-acquired pneumonia (CAP) admitted to the intensive care unit (ICU).

METHODS

In this cohort study, data of 619 patients with CAP aged ≥ 65 years were obtained from the Medical Information Mart for Intensive Care III (MIMIC III) 2001-2012 database. To establish the robustness of predictor variables, the sample dataset was randomly partitioned into a training set group and a testing set group (ratio: 6.5:3.5). The predictive factors were evaluated using multivariable logistic regression, and then a prediction model was constructed. The prediction model was compared with the widely used assessments: Sequential Organ Failure Assessment (SOFA), Pneumonia Severity Index (PSI), systolic blood pressure, oxygenation, age and respiratory rate (SOAR), CURB-65 scores using positive predictive value (PPV), negative predictive value (NPV), accuracy (ACC), area under the curve (AUC) and 95% confidence interval (CI). The decision curve analysis (DCA) was used to assess the net benefit of the prediction model. Subgroup analysis based on the pathogen was developed.

RESULTS

Among 402 patients in the training set, 90 (24.63%) elderly CAP patients suffered from 30-day in-hospital mortality, with the median follow-up being 8 days. Hemoglobin/platelets ratio, age, respiratory rate, international normalized ratio, ventilation use, vasopressor use, red cell distribution width/blood urea nitrogen ratio, and Glasgow coma scales were identified as the predictive factors that affect the 30-day in-hospital mortality. The AUC values of the prediction model, the SOFA, SOAR, PSI and CURB-65 scores, were 0.751 (95% CI 0.749-0.752), 0.672 (95% CI 0.670-0.674), 0.607 (95% CI 0.605-0.609), 0.538 (95% CI 0.536-0.540), and 0.645 (95% CI 0.643-0.646), respectively. DCA result demonstrated that the prediction model could provide greater clinical net benefits to CAP patients admitted to the ICU. Concerning the pathogen, the prediction model also reported better predictive performance.

CONCLUSION

Our prediction model could predict the 30-day hospital mortality in elder patients with CAP and guide clinicians to identify the high-risk population.

Is red blood cell distribution width a prognostic factor for colorectal cancer? A meta-analysis

Background

RDW might be an easy and cost-effective pre-operative prognostic factor for cancer patients. The aim of the current study was to analyze whether red blood cell distribution width (RDW) was a prognostic factor for colorectal cancer (CRC) patients who underwent radical surgery.

Methods

We conducted the searching strategy in three databases including the PubMed, Embase and Cochrane Library from the inception to May 07, 2022, to find eligible studies. In this meta-analysis, we focused on the prognosis. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for overall survival (OS), disease-free survival (DFS) and cancer-specific survival (CSS).

Results

A total of seven studies involving 7,541 patients were included in this meta-analysis. After pooling up the HRs, red blood cell distribution width-coefficient of variation (RDW-CV) was not an independent prognostic factor of OS (HR = 1.48, I²= 90%, 95% CI = 0.93 to 2.36, P = 0.10), however, red blood cell distribution width-standard deviation (RDW-SD) was an independent prognostic factor of OS (HR = 1.99, I²= 0%, 95% CI = 1.59 to 2.49, P < 0.01). As for DFS, we found that RDW-CV (HR = 1.51, I²= 83%, 95% CI = 0.94 to 2.43, P = 0.09 < 0.10) and RDW-SD (HR = 1.77, I²= 56%, 95% CI = 0.91 to 3.43, P = 0.09 < 0.10) were both the independent prognostic factors. In terms of CSS, we found that RDW-CV was not an independent prognostic factor (HR = 1.23, I²= 95%, 95% CI = 0.72 to 2.10, P = 0.46).

Conclusion

RDW-SD was an independent prognostic factor of OS and DFS, and RDW-CV was an independent prognostic factor of DFS.

Red blood cell distribution width-to-albumin ratio is associated with all-cause mortality in cancer patients

Background

Cancer causes a serious health burden on patients worldwide. Chronic low‐level inflammation plays a key role in tumorigenesis and prognosis. However, the role of the red blood cell distribution width (RDW)‐to‐albumin (RA) ratio in cancer mortality remains unclear.

Methods

In this retrospective cohort study, we collected clinical information from cancer patients from the Medical Information Mart for Intensive Care III (MIMIC‐III) version 1.4 database and then calculated RA by dividing RDW by albumin concentration. The primary outcome was 30 days mortality, while secondary outcomes were 90 days and 1 year mortality. Next, we adopted Cox regression models to calculate hazard ratios (HR) together with 95% confidence intervals (CI) for all‐cause mortalities associated with the RA ratio.

Results

For 30 days mortality, the HR (95% CI) for the high RA ratio (≥5.51) was 2.17 [95CI% (1.87–2.51); p = <0.0001], compared with the low RA ratio (<5.51). In Model 2, we adjusted sex and age and obtained HR (95% CI) of 2.17 [95CI% (1.87–2.52); p = <0.0001] for the high RA ratio (≥5.51) group, compared to that in the low RA ratio (<5.51). In Model 3, adjusting for age, sex, anion gap, hematocrit, white blood cell count, congestive heart failure, SOFA, liver disease, and renal failure resulted in HR (95% CI) of 1.74 [95CI% (1.48–2.04); p = <0.0001] for the high RA ratio (≥5.51) relative to the low RA ratio (<5.51). We also analyzed common diseases in cancer patients but found no significant association.

Conclusion

To the best of our knowledge, this is the first study demonstrating that increased RA ratio is independently associated with increased all‐cause mortality in cancer patients.

Red Blood Cell Distribution Width in Heart Failure: Pathophysiology, Prognostic Role, Controversies and Dilemmas

Red blood cell distribution width (RDW), an integral parameter of the complete blood count (CBC), has been traditionally used for the classification of several types of anemia. However, over the last decade RDW has been associated with outcome in patients with several cardiovascular diseases including heart failure. The role of RDW in acute, chronic and advanced heart failure is the focus of the present work. Several pathophysiological mechanisms of RDW’s increase in heart failure have been proposed (i.e., inflammation, oxidative stress, adrenergic stimulation, undernutrition, ineffective erythropoiesis, reduced iron mobilization, etc.); however, the exact mechanism remains unknown. Although high RDW values at admission and discharge have been associated with adverse prognosis in hospitalized heart failure patients, the prognostic role of in-hospital RDW changes (ΔRDW) remains debatable. RDW has been incorporated in recent heart failure prognostic models. Utilizing RDW as a treatment target in heart failure may be a promising area of research.

Prognostic role of red blood cell distribution width and platelet/lymphocyte ratio in early-stage classical Hodgkin lymphoma

Background: To investigate the prognostic role of red blood cell distribution width (RDW) and platelet/lymphocyte ratio (PLR) in early-stage classical Hodgkin lymphoma (cHL). Materials & methods: Data from 402 patients with newly diagnosed early-stage cHL were retrospectively collected. The impact of factors on complete response (CR) rate and freedom from progression (FFP) was analyzed. Results: High PLR was associated with lower CR, but high RDW was not. The univariate analysis showed that RDW and PLR were predictive of FFP. On multivariate analysis, high PLR was an independent risk factor for inferior FFP. Subgroup analysis and a prognostic model for FFP based on PLR validated the prognostic role of PLR. Conclusion: PLR was a robust prognostic factor for newly diagnosed early-stage cHL.

Red Cell Distribution Width as a Predictor of Mortality in Patients With Clinical Sepsis: Experience From a Single Rural Center in Central India

Introduction:

Early diagnosis of sepsis and its severity is essential for appropriate treatment to improve patient survival, especially in resource-limited settings. The aim of the present study was to study the role of red blood cell distribution (RDW) as a biomarker for the early detection of severe sepsis defined clinically and also in the prediction of mortality from sepsis.

Methods:

The cross-sectional study included a total of 175 subjects who met the inclusion criteria for the diagnosis of severe sepsis. After a thorough clinical examination, blood samples were taken from all patients within 3 hours of presenting the disease. The RDW values and other investigations were studied on the day of admission compared to other severity markers with the mortality index of 30 days.

Result:

The RDW value was significantly higher in patients with severe sepsis and in non-survivor patients than in survivors (P < .0001). There was a strong correlation between the SOFA score and RDW in predicting the disease outcome with the Pearson correlation coefficient of r = .46. The area under the receiver operating characteristic curve was found to be 0.852 at a CI of 95% (0.796-0.909) with RDW 17.15, sensitivity was 88.6% and specificity was 63.5%. There was a positive correlation with Pearson’s correlation coefficient of r = .46 between RDW and the SOFA score.

Conclusions:

RDW can be used as a potential marker for the early detection of severe sepsis and in the prediction of the outcome. Large multicenter prospective studies can confirm the utility of this routinely available marker for patients with sepsis.

Biomarkers for heart failure and prognostic prediction in patients with Fontan circulation

A wide variety of pathologies are involved in heart failure in patients with congenital heart disease (CHD). Specific causes of heart failure after the Fontan procedure include not only single-ventricle circulation, but also the function of the right ventricle as the systemic ventricle, atrioventricular or semilunar valve stenosis or regurgitation, pulmonary hypertension, and left ventricular dysfunction secondary to right ventricular enlargement or dysfunction. As heart failure can occur post-Fontan, for a variety of reasons, clarification of the pathophysiology is the first step in management and treatment. At the same time, it is important to understand each patient's current condition and treatment plan to make an accurate prognosis. Because of the wide variety of pathophysiologies in post-Fontan CHD patients, however, no single biomarker is useful in all situations. Relevant biomarkers must be selected according to each patient's disease state, and combinations of multiple biomarkers should also be considered. In this review, the author describes the clinical importance of various biomarkers for patients who have undergone a Fontan procedure.

Immunity and inflammation: the neglected key players in congenital heart disease?

Although more than 90% of children born with congenital heart disease (CHD) survive into adulthood, patients face significantly higher and premature morbidity and mortality. Heart failure as well as non-cardiac comorbidities represent a striking and life-limiting problem with need for new treatment options. Systemic chronic inflammation and immune activation have been identified as crucial drivers of disease causes and progression in various cardiovascular disorders and are promising therapeutic targets. Accumulating evidence indicates an inflammatory state and immune alterations in children and adults with CHD. In this review, we highlight the implications of chronic inflammation, immunity, and immune senescence in CHD. In this context, we summarize the impact of infant open-heart surgery with subsequent thymectomy on the immune system later in life and discuss the potential role of comorbidities and underlying genetic alterations. How an altered immunity and chronic inflammation in CHD influence patient outcomes facing SARS-CoV-2 infection is unclear, but requires special attention, as CHD could represent a population particularly at risk during the COVID-19 pandemic. Concluding remarks address possible clinical implications of immune changes in CHD and consider future immunomodulatory therapies.

Red blood cell distribution width in elderly hospitalized patients with cardiovascular disease

BACKGROUND

Red blood cell distribution width (RDW) is elevated in patients with cardiovascular disease (CVD).

AIM

To determine RDW values and impact of CV and non-CV coexisting morbidities in elderly patients hospitalized with chronic CVD.

METHODS

This prospective study included 204 consecutive elderly patients (age 77.5 [7.41] years, female 94 [46%], left ventricular ejection fraction 53.00% [37.50, 55.00]) hospitalized with chronic CVD at the Cardiology Department of Larissa University General Hospital (Larissa, Greece) from January 2019 to April 2019. Elderly patients were selected due to the high prevalence of coexisting morbidities in this patient population. Hospitalized patients with acute CVD (acute coronary syndromes, new-onset heart failure [HF], and acute pericarditis/myocarditis), primary isolated valvular heart disease, sepsis, and those with a history of blood transfusions or cancer were excluded. The evaluation of the patients within 24 h from admission included clinical examination, laboratory blood tests, and echocardiography.

RESULTS

The most common cardiac morbidities were hypertension and coronary artery disease, with acutely decompensated chronic heart failure (ADCHF) and atrial fibrillation (AF) also frequently being present. The most common non-cardiac morbidities were anemia and chronic kidney disease followed by diabetes mellitus, chronic obstructive pulmonary disease, and sleep apnea. RDW was significantly elevated 15.48 (2.15); 121 (59.3%) of patients had RDW > 14.5% which represents the upper limit of normal in our institution. Factors associated with RDW in stepwise regression analysis were ADCHF (coefficient: 1.406; 95% confidence interval [CI]: 0.830-1.981; P < 0.001), AF (1.192; 0.673 to 1.711; P < 0.001), and anemia (0.806; 0.256 to 1.355; P = 0.004). ADCHF was the most significant factor associated with RDW. RDW was on average 1.41 higher for patients with than without ADCHF, 1.19 higher for patients with than without AF, and 0.81 higher for patients with than without anemia. When patients were grouped based on the presence or absence of anemia, ADCHF and AF, heart rate was not increased in those with anemia but was significantly increased in those with ADCHF or AF.

CONCLUSION

RDW was elevated in elderly hospitalized patients with chronic CVD. Factors associated with RDW were anemia and CV factors associated with elevated heart rate (ADCHF, AF), suggesting sympathetic overactivity.

Prognostic Value of the post-operative Red Blood Cell Distribution Width in rectal cancer patients with neoadjuvant chemoradiation followed surgery

Purposes Several studies have reported that elevated red  cell distribution width (RDW) is related to poor prognosis in several cancers; however, the prognostic significance of perioperative RDW in rectal cancer patients which received neoadjuvant chemoradiation therapy (NACRT) is unclear. Methods A total of 120 rectal cancer patients who received NACRT followed surgery were retrospectively reviewed from Affiliated Cancer Hospital of Zhengzhou University between 2013 to 2015. Data for peripheral blood tests prior to the initiation of NACRT，before surgery and first chemotherapy after surgery were collected，respectively. The optimal cutoff values of RDW was determined by ROC analysis, respectively. The relationship between RDW and the prognosis of patients was evaluated by, respectively. Results The post-operative RDWHigh (≥15.55) patients had significantly worse five-year overall survival (OS, P=0.001) and disease-free survival (DFS, P=0.001) than the post-operative RDWLow (<15.55) patients, respectively. Whereas high pre-operative RDW  (≥16.45) was the only marker correlated with worse DFS (P=0.005) than the pre-operative RDWLow (<16.45)patients, no relationship was found between pre-RDW and prognosis(OS, P=0.069; DFS, P=0.133). Multivariate analysis showed post-operative RDW had better predictive value than pre-RDW and pre-operative RDW. Conclusion Post-operative RDW might be a useful prognostic indicator in rectal cancer patients received neoadjuvant chemoradiation.

Prognostic value of baseline hemoglobin-to-red blood cell distribution width ratio in small cell lung cancer: A retrospective analysis

Background

This study aimed to investigate the prognostic value of baseline hemoglobin‐to‐red blood cell distribution width ratio (HRR) in patients with small cell lung cancer (SCLC).

Methods

We retrospectively analyzed the medical records of patients with newly diagnosed SCLC who had received first‐line chemotherapy at the Department of Pulmonary Oncology of the PLA 307 Hospital between January 2008 and October 2018. The optimal cutoff value of the continuous variables was determined using the X‐tile software. Univariate and multivariate analyses were conducted using Cox proportional hazard models. The Kaplan‐Meier method was used for survival analysis, with differences tested using the log‐rank test.

Results

A total of 146 patients were included. The cutoff value for HRR was determined as 0.985. Statistically significant differences were observed in sex, smoking history, stage, radiotherapy combination, neutrophil‐to‐lymphocyte ratio, platelet‐to‐lymphocyte ratio, hemoglobin, and red blood cell distribution width between the high and low HRR groups. The median overall survival (OS) was nine and 17.5 months in the low and high HRR groups, respectively (P < 0.001). The median progression‐free survival (PFS) was five and 8.5 months, respectively (P < 0.001). Univariate and multivariate analyses showed low HRR to be an independent predictor of a poor prognosis for OS (hazard ratio = 3.782; 95% confidence interval, 2.151–6.652; P < 0.001) and PFS (hazard ratio = 2.112; 95% confidence interval, 1.195–3.733; P = 0.01) in SCLC.

Conclusion

Low HRR was associated with poorer OS and PFS in patients with SCLC and can be a potentially valuable prognostic factor for these patients.

Key points

The prognostic value of the baseline hemoglobin‐to‐red blood cell distribution width ratio was evaluated in patients with small cell lung cancer.

In this population, this ratio was an independent predictor of overall survival and progression‐free survival. This ratio, an inexpensive and routine parameter, can be used as a prognostic factor in small cell lung cancer.

Red blood cell distribution width and platelet counts are independent prognostic factors and improve the predictive ability of IPI score in diffuse large B-cell lymphoma patients

Background

Elevated red blood cell distribution width (RDW) and decreased platelet count (PLT) can be clinically relevant to the prognosis in cancer patients. However, their prognostic values in patients with diffuse large B-cell lymphoma (DLBCL) need to be further explored.

Methods

Healthy donors (n = 130) and patients with DLBCL (n = 349) were included and evaluated retrospectively in this study. The prognostic influence of clinical and pathological factors including RDW and PLT on overall survival (OS) and progression-free survival (PFS) were studied by Kaplan-Meier curves. To evaluate the independent prognostic relevance of RDW and PLT, univariate and multivariate Cox proportional hazards regression models were applied. The adjusted IPI model was established based on the results of multivariate analysis, and verified by Harrell’s C statistical analysis.

Results

Kaplan-Meier curves indicated that an elevated RDW value and thrombocytopenia are poor factors for OS (P < 0.001, P = 0.006) and PFS (P = 0.003, P < 0.001) in DLBCL patients. Multivariate analysis confirmed that elevated RDW value (HR = 2.026, 95%CI = 1.263–3.250, P = 0.003) and decreased PLT count (HR =1.749, 95%CI = 1.010–3.028, P = 0.046) were both independent prognostic factors. The c-index of IPI and NCCN-IPI were increased when RDW level and PLT were supplemented in our cohort.

Conclusions

Our study shows that elevated RDW level and decreased PLT are independent poor prognostic factors in newly diagnosed DLBCL patients. Adding RDW and PLT to the IPI score may improve its predictive ability, and the adjusted IPI may be more powerful in predicting the survival of DLBCL patients in the rituximab era.

[Value of red blood cell distribution width-to-platelet count ratio in predicting the prognosis of children with sepsis]

OBJECTIVE

To study the value of red blood cell distribution width (RDW)-to-platelet count (PLT) ratio (RPR) on the first day of admission into the pediatric intensive care unit (PICU) in predicting the prognosis of children with sepsis.

METHODS

A retrospective analysis was performed for the clinical data of 186 children with sepsis who were hospitalized in the PICU. According to their prognosis, they were divided into a survival group with 151 children and a death group with 35 children. Clinical data were compared between the two groups. The Cox proportional-hazards regression model analysis was used to investigate the factors influencing the prognosis. The receiver operating characteristic (ROC) curve was plotted to evaluate the value of RPR in predicting death. The children were divided into a high RPR group and a low RPR group according to the optimal cut-off value, and the Kaplan-Meier method was used to compare the 28-day survival rate between the two groups.

RESULTS

Compared with the survival group, the death group had significantly higher RDW, procalcitonin (PCT) and RPR (P<0.05) and significantly lower PLT and albumin (ALB) (P<0.05). The Cox regression model analysis showed that low ALB, high PCT and high RPR were independent risk factors for the prognosis of children with sepsis (P<0.05). The ROC curve analysis showed that RPR had a certain value in predicting the prognosis of children with sepsis (P<0.05), with an area under the ROC curve of 0.937, an optimal cut-off value of 0.062, a sensitivity of 94.29%, and a specificity of 77.48%. The Kaplan-Meier survival analysis showed that the high RPR group had a significantly lower 28-day survival rate than the low RPR group (P<0.05).

CONCLUSIONS

RPR on the first day of admission into the PICU is closely associated with the prognosis of children with sepsis and has an important value in predicting the prognosis of children with sepsis.

Prognostic value of red blood cell distribution width for severe acute pancreatitis

BACKGROUND

Severe acute pancreatitis (SAP) is a common condition in the intensive care unit (ICU) and has a high mortality. Early evaluation of the severity and prognosis is very important for SAP therapy. Recently, red blood cell distribution (RDW) was associated with mortality of sepsis patients and could be used as a predictor of prognosis. Similarly, RDW may be associated with the prognosis of SAP patients and be used as a prognostic indicator for SAP patients.

AIM

To investigate the prognostic value of RDW for SAP patients.

METHODS

We retrospectively enrolled SAP patients admitted to the ICU of the First Affiliated Hospital of China Medical University from June 2015 to June 2017. According to the prognosis at 90 d, SAP patients were divided into a survival group and a non-survival group. RDW was extracted from a routine blood test. Demographic parameters and RDW were recorded and compared between the two groups. The receiver operator characteristic (ROC) curve was constructed and Cox regression analysis was performed to investigate the prognostic value of RDW for SAP patients.

RESULTS

In this retrospective cohort study, 42 SAP patients were enrolled, of whom 22 survived (survival group) and 20 died (non-survival group). The baseline parameters were comparable between the two groups. The coefficient of variation of RDW (RDW-CV), standard deviation of RDW (RDW-SD), Acute Physiology and Chronic Health Evaluation II (APACHE II) score, and Sequential Organ Failure Assessment (SOFA) score were significantly higher in the non-survival group than in the survival group (P < 0.05). The RDW-CV and RDW-SD were significantly correlated with the APACHE II score and SOFA score, respectively. The areas under the ROC curves (AUCs) of RDW-CV and RDW-SD were all greater than those of the APACHE II score and SOFA score, among which, the AUC of RDW-SD was the greatest. The results demonstrated that RDW had better prognostic value for predicting the mortality of SAP patients. When the RDW-SD was greater than 45.5, the sensitivity for predicting prognosis was 77.8% and the specificity was 70.8%. Both RDW-CV and RDW-SD could be used as independent risk factors to predict the mortality of SAP patients in multivariate logistic regression analysis and univariate Cox proportional hazards regression analysis, similar to the APACHE II and SOFA scores.

CONCLUSION

The RDW is greater in the non-surviving SAP patients than in the surviving patients. RDW is significantly correlated with the APACHE II and SOFA scores. RDW has better prognostic value for SAP patients than the APACHE II and SOFA scores and could easily be used by clinicians for the treatment of SAP patients.

The C-Reactive Protein/Albumin Ratio and Complete Blood Count Parameters as Indicators of Disease Activity in Patients with Takayasu Arteritis

Background

This study aimed to evaluate the ratio of C-reactive protein (CRP) to albumin, inflammatory markers, and parameters from the complete blood count (CBC) in patients with Takayasu arteritis and the association with disease activity.

Material/Methods

A retrospective study included thirty-two patients with Takayasu arteritis and 32 healthy controls. Clinical and demographic characteristics of patients with Takayasu arteritis were recorded at baseline, before medication and on remission. Similar data were obtained for the controls at recruitment. Remission was defined as more than six months of stable disease without new vascular lesions in patients who previously had active disease. Kerr’s criteria were used to define active Takayasu arteritis.

Results

In patients with Takayasu arteritis, the erythrocyte sedimentation rate (ESR), CRP, CRP/albumin ratio, red cell distribution width (RDW), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR) were significantly higher, and albumin and MPV were significantly lower compared with controls. The ESR, CRP, CRP/albumin ratio, NLR, PLR, and MLR were decreased in remission, whereas MPV was increased. CRP and the CRP/albumin ratio were positively correlated and albumin and MPV were negatively correlated with disease activity. The CRP/albumin ratio had the highest correlation with disease activity in Takayasu arteritis. The CRP/albumin ratio, RDW, NLR, PLR, and MLR were positively correlated with CRP and ESR.

Conclusions

The CRP/albumin ratio, RDW, NLR, PLR, MLR, and MPV were markers of remission of active disease, and the CRP/albumin ratio, total albumin, and MPV were markers of disease activity in Takayasu arteritis.

Relationship of Red Cell Distribution Width to Adverse Outcomes in Adults With Congenital Heart Disease (from the Boston Adult Congenital Heart Biobank)

Red cell distribution width (RDW), a measure of variability in red cell size, predicts adverse outcomes in acquired causes of heart failure. We examined the relation of RDW and outcomes in adults with congenital heart disease. We performed a prospective cohort study on 696 ambulatory patients ≥18years old enrolled in the Boston Adult Congenital Heart Disease Biobank between 2012 and 2016 (mean age 38.7 ± 13.5 years; 49.9% women). The combined outcome was all-cause mortality or nonelective cardiovascular hospitalization. Most patients had moderately or severely complex congenital heart disease (42.5% and 38.5%, respectively). Mean RDW was 14.0 ± 1.3%. RDW >15% was present in 81 patients (11.6%). After median 767days of follow-up, 115 patients sustained the primary combined outcome, including 31 who died. Higher RDW predicted both the combined outcome (hazard ratio [HR] for RDW >15% = 4.5, 95% confidence interval [CI] 3.0 to 6.6; HR per + 1SD RDW = 1.8, 95% CI 1.6 to 2.0, both p <0.0001) and death alone (HR for RDW >15% = 7.1, 95% CI 3.5 to 14.4; HR per + 1SD RDW = 1.8, 95% CI 1.6 to 2.0, both p <0.0001). RDW remained an independent predictor of the combined outcome after adjusting for age, cyanosis, congenital heart disease complexity, ventricular systolic function, New York Heart Association functional class, hemoglobin concentration, mean corpuscular volume, high-sensitivity C-reactive protein and estimated glomerular filtration rate (HR per + 1SD RDW = 1.5, 95% CI 1.2 to 1.9, p <0.0001). RDW also remained an independent predictor of mortality alone after adjustment for age plus each variable individually. In conclusion, elevated RDW is an independent predictor of all-cause mortality or nonelective cardiovascular hospitalization in adults with congenital heart disease. This simple clinical biomarker identifies increased risk for adverse events even among patients with preserved functional status.

Impact of Chronic Inflammation, Assessed by hs-CRP, on the Association between Red Cell Distribution Width and Arterial Cardiovascular Disease: The Tromsø Study

Red cell distribution width (RDW), a measure of variability in size of circulating erythrocytes, is associated with arterial cardiovascular disease (CVD), but the underlying mechanism remains unclear. We aimed to investigate the impact of chronic inflammation as measured by high-sensitivity C-reactive protein (hs-CRP) on this relationship, and explore whether RDW could be a mediator in the causal pathway between inflammation and arterial CVD. Baseline characteristics, including RDW and hs-CRP, were obtained from 5,765 individuals attending a population-based cohort study. We followed up participants from inclusion in the fourth survey of the Tromsø Study (1994/1995) until December 31, 2012. Multivariable Cox-regression models were used to calculate hazard ratios (HR) with 95% confidence intervals (CI) for incident myocardial infarction (MI) and ischemic stroke across quintiles of hs-CRP and RDW. Subjects with hs-CRP in the highest quintile had 44% higher risk of MI (HR: 1.44, 95% CI: 1.14-1.80), and 64% higher risk of ischemic stroke (HR: 1.64, 95% CI: 1.20-2.24) compared with subjects in the lowest quintile. RDW mediated 7.2% (95% CI: 4.0-30.8%) of the association between hs-CRP and ischemic stroke. Subjects with RDW in the highest quintile had 22% higher risk of MI (HR: 1.22, 95% CI: 0.98-1.54) and 44% higher risk of ischemic stroke (HR: 1.44, 95% CI: 1.06-1.97) compared with subjects in the lowest quintile. These risk estimates were slightly attenuated after adjustments for hs-CRP. Our findings suggest that chronic inflammation is not a primary mechanism underlying the relationship between RDW and arterial CVD.

Pre-treatment red blood cell distribution width provides prognostic information in multiple myeloma

BACKGROUND

The red blood cell distribution width (RDW), a credible marker for abnormal erythropoiesis, has recently been studied as a prognostic factor in oncology, but its role in multiple myeloma (MM) hasn't been thoroughly investigated.

METHODS

We performed a retrospective study in 162 patients with multiple myeloma. Categorical parameters were analyzed using Pearson chi-squared test. The Mann-Whitney and Wilcoxon tests were used for group comparisons. Comparisons of repeated samples data were analyzed with the general linear model repeated-measures procedure. The Kaplan-Meier product-limit method was used to determine OS and PFS, and the differences were assessed by the log-rank test.

RESULTS

High RDW baseline was significantly associated with indexes including haemoglobin, bone marrow plasma cell infiltration, and cytogenetics risk stratification. After chemotherapy, the overall response rate (ORR) decreased as RDW baseline increased. In 24 patients with high RDW baseline, it was revealed RDW value decreased when patients achieved complete remission (CR), but increased when the disease progressed. The normal-RDW baseline group showed both longer overall survival (OS) and progression-free survival (PFS) than the high-RDW baseline group.

CONCLUSION

Our study suggests pre-treatment RDW level is a prognostic factor in MM and should be regarded as an important parameter for assessment of therapeutic efficiency.

The Effect of Diagnostic Blood Loss on Anemia and Transfusion Among Postoperative Patients With Congenital Heart Disease in a Pediatric Intensive Care Unit

PURPOSE

To evaluate whether diagnostic blood loss can lead to anemia and consequent blood transfusion among postoperative patients with congenital heart disease (CHD) in the pediatric intensive care unit (PICU).

DESIGN AND METHODS

This prospective observational study was conducted in a university-affiliated tertiary hospital between January and August 2016. CHD patients aged <12years, undergoing cardiac surgery, with a PICU stay >48h were included (n=205). Multivariate logistic regression analyses were used to determine the effect of diagnostic blood loss on anemia and transfusion.

RESULTS

The mean daily phlebotomy volume was 5.40±1.94mL/d during the PICU stay (adjusted for body weight, 0.63±0.36mL/kg/d). Daily volume/kg was associated with cyanotic CHD, Pediatric Risk of Mortality III score, and Pediatric Logistic Organ Dysfunction (PELOD)-2 score. In total, 101 (49.3%) patients presented with new or more severe anemia after admission to PICU, which was not associated with phlebotomy volume. Forty-one (20.0%) children received one or more RBC transfusions during their PICU stay. Multivariate analysis indicated that PELOD-2 score>5, new or more severe anemia, and daily volume/kg of phlebotomy >0.63mL/kg/d were significantly associated with transfusion after 48h of admission to PICU.

CONCLUSIONS

Our findings indicate that diagnostic blood loss is not related to postoperative anemia in children with CHD; however, this factor does correlate with blood transfusion, since it somewhat reflects the severity of illness.

PRACTICE IMPLICATIONS

Strategies should be applied to reduce diagnostic blood loss, as appropriate.

Elevated red blood cell distribution width contributes to poor prognosis in patients undergoing resection for nonmetastatic rectal cancer

Several studies have reported that elevated red blood cell distribution width (RDW) was associated with the poor prognosis of different kinds of cancers. The aim of this study was to investigate the prognostic role of RDW in patients undergoing resection for nonmetastatic rectal cancer.We retrospectively reviewed a database of 625 consecutive patients who underwent curative resection for nonmetastatic rectal cancer at our institution from January 2009 to December 2014. The cutoff value of RDW was calculated by receiver-operating characteristic curve.The results demonstrated that patients in high RDW-cv group had a lower overall survival (OS) (P = .018) and disease-free survival (P = .004). We also observed that patients in high RDW-sd group were associated with significantly lower OS (P = .033), whereas the disease-free survival (DFS) was not significantly different (P = .179).In multivariate analysis, we found elevated RDW-cv was associated poor DFS (hazard ratio [HR] = 1.56, P = .010) and RDW-sd can predict a worse OS (HR = 1.70, P = .009).We confirmed that elevated RDW can be an independently prognostic factor in patients undergoing resection for nonmetastatic rectal cancer. So more intervention or surveillance might be paid to the patients with nonmetastatic rectal cancer and elevated RDW values in the future.

Red cell distribution width associated with adverse cardiovascular outcomes in patients with chronic kidney disease

Background

Recent studies have demonstrated that red cell distribution width (RDW) is associated with cardiovascular (CV) events and mortality. Patients with chronic kidney disease (CKD) are often anemic and have high RDW levels. In this study, we investigated the effect of RDW on major composite CV outcomes among patients with CKD.

Methods

We retrospectively analyzed patients with CKD who were admitted to the department of cardiology of a tertiary hospital in 2011. The patients were divided into 2 groups: normal RDW (RDW < 14.5%) and elevated RDW (RDW ≥ 14.5%). Demographic characteristics, comorbidities, blood investigation results, prescriptions, and outcomes were analyzed after a 3-year follow-up period. Six adjustment levels were performed to evaluate the effect of RDW on outcomes.

Results

This study involved 282 patients with CKD: 213 in the elevated RDW group and 69 in the normal RDW group. The elevated RDW group had older patients, a lower proportion of male patients, lower left ventricular ejection fraction (LVEF) values, lower hemoglobin levels, lower serum albumin levels, and higher creatinine levels, compared with the normal RDW group. A linear trend was observed toward higher RDW in patients with deteriorating renal function. In the final adjusted model, RDW ≥ 14.5%, older age, and lower LVEF were associated with an increased risk of major composite CV outcomes.

Conclusion

RDW is a potentially useful cost-effective indicator of major composite CV outcomes in patients with CKD.

The relationship between red cell distribution width and the risk of Henoch-Schönlein purpura nephritis

INTRODUCTION

Red blood cell distribution width (RDW) is elevated in various inflammatory diseases, but its clinical significance in Henoch-Schönlein purpura nephritis (HSPN) in unknown. The aim of this study was to determine the value of RDW as a risk factor or marker for HSPN in children.

METHODS

This was a case-control study of 105 Henoch-Schönlein purpura (HSP) patients, 120 HSPN patients and 192 healthy controls. The relationship between RDW-coefficient of variation (RDW-CV) and the clinical characteristics of HSPN patients was determined by a multiple logistic regression analysis (MVLRA). Receiver operating characteristic (ROC) curves were applied to compare the diagnostic potential of the RDW-CV, a panel of routine markers and combinations of these indices.

RESULTS

The RDW-CV values were significantly higher in the HSPN group than the HSP group and controls (P < 0.001). Significant correlations were found between RDW-CV and ESR (P = 0.001). A combination of RDW-CV and ESR in a ROC curve showed 80% sensitivity and 84.9% specificity in the HSP patients, and 85.8% sensitivity and 93.8% specificity in the HSPN patients. The MVLRA revealed that RDW-CV (OR 1.69, 95% CI 1.16-2.48, P = 0.007) was an independent predictor of HSPN.

CONCLUSIONS

The RDW levels were highest in the HPSN group, suggesting that RDW, especially the combination of RDW and ESR, may have value when assessing the risk of HSPN.

Association between red blood cell distribution width and Henoch-Schonlein purpura nephritis

To investigate whether red blood cell distribution width (RDW) is a marker of the risk of Henoch-Schonlein purpura (HSP) nephritis (HSPN), a total of 669 HSP patients and 168 healthy controls were included in this retrospective study. Two hundred fifty-six (38.3%) of the patients had kidney involvement. Compared with the HSP group, RDW was significantly higher in the HSPN group (P < .001). Binary logistic regression identified that HSPN was independently associated with age, RDW, platelet, and total cholesterol (odds ratio = 1.409, 1.353, 0.996, and 2.019, respectively). In addition, RDW values of HSPN patients with crescents on histopathology (classes III, IV, and V) were higher compared with those of HSPN without crescents (classes I and II) (P = .019). The receiver-operating characteristic curve analysis showed that the RDW at a cut-off point of 13.25 has 61% sensitivity and 79% specificity in predicting the presence of crescents on histopathology. It was first shown that RDW levels in HSPN are significantly higher than those in HSP without nephritis and healthy controls. RDW can be an independent predictor of HSPN and its levels greater than 13.25 were useful in the predicting the presence of crescents on histopathology.

Alterations of the hematologic cells in synthetic cannabinoid users

BACKGROUND

Functions, morphology, distributions, and index of the circulating cells are the most useful parameters that indicate various inflammatory and toxic conditions. The aim of this study was to investigate the clinical significance of these parameters in patients diagnosed with (synthetic) cannabis use disorder.

METHODS

This study included a total of 40 patients in the study group (SG) with synthetic cannabis use; and 40 healthy individuals as the control group (CG). Participants, who had hematological disorders and other chronic diseases, were excluded from the study. All hematological parameters of SG were compared with CG. Neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR) values were calculated and compared between groups.

RESULTS

There were statistically significant differences between the groups in terms of WBC, MCH, RDW, MCV, MPV, and NEU, LYM%, MONO% parameters (P<.05). MPW and LYM% were significantly lower in SG compared to CG. WBC, MCH, RDW, MCV, MPV, MONO, and NEU parameters were significantly higher in SG compared to CG (P<.05). UIBC and TIBC levels were significantly higher in SG compared to CG (P<.001). Although there was statistically significant difference between groups in terms of NLR, there was no significant difference for PLR values.

CONCLUSION

Our data suggested that chronic use of cannabinoids can lead to deterioration of hematopoietic cells. Chronic use of cannabinoids was consistent with subthreshold/subclinical megaloblastic anemia with iron deficiency. Inflammatory cells, especially neutrophil and monocyte counts were higher in SG compared to CG. Thus, recovery of subclinical hematological parameters should be considered in cannabis use disorder patients.

Diagnostic values of red cell distribution width, platelet distribution width and neutrophil-lymphocyte count ratio for sepsis

The aim of this study was to evaluate the diagnostic efficiency of red blood cell distribution width (RDW), platelet distribution width (PDW), the neutrophil-lymphocyte count ratio (NLCR), procalcitonin (PCT) and C-reactive protein (CRP) for the prediction of sepsis. A total of 120 consecutive patients who underwent blood culture testing were included. The PCT and CRP levels, and RDW, PDW and NLCR percentages were determined and compared between patients with positive blood cultures and those without. The PCT, CRP, RDW, PDW and NLCR values were significantly higher in patients with positive blood culture compared with those without. PCT and NLCR each had a high diagnostic performance for the prediction of sepsis, with an area under the curve (AUC) for sepsis of 0.829 and 0.718, respectively. A combination of RDW, PDW and NLCR also exhibited a good diagnostic performance for sepsis (AUC, 0.704). NLCR is easily obtained by automated hematological analysis. Moreover, NLCR was found to have a high diagnostic efficiency for the prediction of sepsis, with greater sensitivity and accuracy than CRP. In conclusion, PCT exhibited the optimal diagnostic performance among the tested markers. The combination of the three parameters of RDW, PDW and NLCR, demonstrated a high diagnostic performance similar to that of PCT.