Elevated platelet distribution width and red cell distribution width are associated with autoimmune liver diseases

Long-term fasting induces a remodelling of fatty acid composition in erythrocyte membranes

INTRODUCTION

Long-term fasting (LF) activates an adaptative response to switch metabolic fuels from food glucose to lipids stored in adipose tissues. The increase in free fatty acid (FFA) oxidation during fasting triggers health benefits. We questioned if the changes in lipid metabolism during LF could affect lipids in cell membranes in humans. We thus analysed the FA composition in erythrocyte membranes (EM) during 12.6 ± 3.5 days of LF and 1 month after food reintroduction.

METHODS

A total of 98 subjects out of three single-arm interventional studies underwent a medical supervised long-term fasting (12.6 ± 3.5 days) programme. The distribution pattern of 26 FA as well as the HS-Omega-3 Index were assessed in the EM using gas chromatography.

RESULTS

Eighteen of 26 FA showed significant changes. Within the group of saturated FA, myristic (14:0) and stearic acid (18:0) decreased while palmitic (16:0) and arachid acid (20:0) increased. While most monounsaturated FA increased, trans fatty acids decreased or remained unchanged. Within the polyunsaturated FA, arachidonic (20:4n6) and docosahexaenoic (22:6n3) acid increased, while linoleic (18:2n6), alpha-linolenic (18:3n3) and eicosapentaenoic acid (20:5n3) decreased. Consequently, the HS-Omega-3 Index increased. 11 out of the 18 FA with significant changes returned to baseline levels 1 month afterwards. Levels of linoleic and alpha-linolenic acid increased over baseline levels.

CONCLUSIONS

Long-term fasting triggers changes in the FA composition of EM.

Associations between age, red cell distribution width and 180-day and 1-year mortality in giant cell arteritis patients: mediation analyses and machine learning in a cohort study

OBJECTIVE

The aim of this study was to investigate the correlation between age, red cell distribution width (RDW) levels, and 180-day and 1-year mortality in giant cell arteritis (GCA) patients hospitalized or admitted to the ICU.

METHODS

Clinical data from GCA patients were extracted from the MIMIC-IV (3.0) database. Logistic and Cox regression analyses, Kaplan-Meier (KM) survival analysis, restricted cubic spline (RCS) analysis, and mediation effect analysis were employed to investigate the association between age, RDW levels, and 180-day and 1-year mortality in GCA patients hospitalized or admitted to the ICU. Predictive models were constructed using machine learning algorithms, and SHapley Additive exPlanations (SHAP) analysis was applied to evaluate the contributions of age and RDW levels to mortality in this patient population.

RESULTS

A total of 228 GCA patients were eligible for analysis. Our study identified both age and RDW levels (both with OR > 1, P < 0.05) as significant predictors of 180-day and 1-year mortality in GCA patients hospitalized or admitted to the ICU using multivariate logistic regression analysis. In multivariate Cox regression analysis, both age and RDW (both with HR > 1, P < 0.05) also emerged as prognostic risk factors for 180-day and 1-year mortality in this patient population. KM survival analysis further showed that GCA patients hospitalized or admitted to the ICU with higher age or elevated RDW levels had significantly lower survival rates compared to younger patients or those with lower RDW levels (P < 0.0001). Moreover, RCS analysis indicated a strong nonlinear relationship between RDW levels (threshold: 17.53%) and 1-year mortality in this population. Additionally, RDW levels were found to modestly mediate the relationship between age (per 10-year increase) and 180-day or 1-year mortality in GCA patients hospitalized or admitted to the ICU. The results of the machine learning analysis indicated that the model built using the random forest algorithm performed the best, with an area under the curve of 0.879. Furthermore, SHAP analysis revealed that both age and RDW levels made significant contributions to the prediction of mortality in GCA patients hospitalized or admitted to the ICU.

CONCLUSIONS

Older age and higher RDW levels were identified as independent risk factors for increased 180-day and 1-year mortality in GCA patients hospitalized or admitted to the ICU. Furthermore, elevated RDW levels modestly mediated the relationship between age and 180-day or 1-year mortality in this patient population.

miRNAs and Hematological Markers in Non-Alcoholic Fatty Liver Disease-A New Diagnostic Path?

Background: Asymptomatic liver steatosis constitutes an emerging issue worldwide. Therefore, we decided to explore relationships between selected types of microRNAs (miRNAs), serological markers of liver fibrosis and hematological parameters in the course of non-alcoholic fatty liver disease (NAFLD). Methods: Two hundred and seven persons were included in the survey: 97 with NAFLD and 110 healthy controls. Serological concentrations of miR-126-3p, miR-197-3p, and miR-1-3p were measured in all participants. Direct indices of liver fibrosis [procollagen I carboxyterminal propeptide (PICP), procollagen III aminoterminal propeptide (PIIINP), platelet-derived growth factor AB (PDGF-AB), transforming growth factor-α (TGF-α) and laminin] together with indirect markers (AAR, APRI, FIB-4 and GPR) were also evaluated. The assessment of hematological parameters concerned: mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), red blood cell distribution width (RDW), MPV to platelet (PLT) ratio (MPR), RDW to PLT ratio (RPR), neutrophil to lymphocyte (LYM) ratio (NLR), PLT to LYM ratio (PLR) and RDW to LYM ratio (RLR). Additionally, the NAFLD fibrosis score and BARD score were applied. Results: The concentration of miR-126-3p and miR-1-3p was higher, and miR-197-3p was lower in the NAFLD group (p < 0.0001). miR-197-3p correlated notably with hematological indices: negatively with PDW (p < 0.05) and positively with PLR (p < 0.05). Conclusions: Significant correlations between miRNA molecules and hematological markers in the course of NAFLD indicate inflammation as a potential background and create new possibilities for a diagnostic approach.

Evaluation of systemic inflammation markers in patients with Hashimoto's thyroiditis

OBJECTIVE

To investigate markers of systemic inflammation and the effect of thyroid dysfunction on these parameters in patients with Hashimoto's thyroiditis (HT).

METHODS

Patients with HT and volunteer healthy individuals admitted to the general surgery outpatient clinic between January 2020 and June 2023 were enrolled into the study. Patients with HT were divided into euthyroid, hypothyroid, and hyperthyroid subgroups. All participant data were retrospectively extracted from the hospital database.

RESULTS

A total of 268 patients (euthyroid, n = 131; hypothyroid, n = 83; and hyperthyroid, n = 54) and 124 controls were included. The platelet-to-lymphocyte ratio was lower in the euthyroid group versus control group, and the neutrophil-to-lymphocyte ratio was lower in controls than the three patient subgroups. Euthyroid and hypothyroid patients with HT exhibited a higher systemic inflammation index than the control group. The pan-immune inflammation index was lower in controls than in euthyroid, hypothyroid, and hyperthyroid patients with HT. In patients with HT, inflammation markers did not significantly differ between subgroups.

CONCLUSIONS

Markers of systemic inflammation provide meaningful and reliable information in patients with HT, but do not differentiate between euthyroid, hypothyroid, or hyperthyroid patients.

Association of platelet distribution width with all-cause and cause-specific mortality in US adults

BACKGROUND

Platelet distribution width (PDW) indicates heterogeneity in circulating platelet sizes. Studies reporting PDW association with mortality were limited by small sample sizes. Therefore, we examined the relationship between PDW and all-cause and cause-specific mortality in a large representative cohort.

METHODS

The NHANES III data were linked to mortality files to examine the association between PDW and mortality. We excluded participants <18 years old and had a history of myocardial infarction. Since the hazards violated the proportionality assumption, we used piece-wise spline with 5-year time intervals in Cox models without and with adjustment for age, gender, race, smoking history, diabetes mellitus, hypertension, eGFR and total cholesterol.

RESULTS

Of 15,688 participants, 53.2% were females, 36.2% had a history of hypertension, and 6368(40.6%) died during follow-up (range 0 to 31 years). The mean (SD) age of the participants was 47(20) years, platelet count was 275.0(71.7) 109/L, and PDW 16.5(0.5). In multivariable analyses, PDW was associated with all-cause mortality at 0-5 years (HR = 1.44; 95%CI = 1.21, 1.72; P < 0.001) and at 5-10 years (HR = 1.23; 95%CI =1.03, 1.46; P = 0.02). Similarly, PDW association was significant for the first 0-5 years in cardiovascular mortality (HR = 1.58, 95%CI = 1.10, 2.25; P = 0.013) and for cancer mortality (HR = 1.48 (1.15, 95%CI = 1.15, 1.91, P = 0.003). For other-cause mortality, PDW remained significantly associated for 0-5 years (HR = 1.35, 95%CI =1.05, 1.74; P = 0.02) and for 5-10 years (HR = 1.38, 95%CI = 1.05, 1.83; P = 0.023).

CONCLUSIONS

PDW is an independent, but time-dependent, predictor of all-cause, cardiovascular, cancer and other-cause mortality up to 5 years. The mechanisms underlying this association need further study.

Prognostic value of red blood cell distribution width to albumin ratio for predicting mortality in adult patients meeting sepsis-3 criteria in intensive care units

BACKGROUND

Patients with sepsis with low albumin levels and high red blood cell distribution width levels have poor prognoses. Red blood cell distribution width to albumin ratio (RAR) has recently attracted attention as an innovative inflammation biomarker. We aimed to explore the association between RAR and the prognosis of patients with sepsis.

METHODS

This retrospective observational study included 402 patients meeting the sepsis-3 standards admitted to Yantai Yuhuangding Hospital's intensive care units (ICUs) between January 2020 and December 2022. The relationship between RAR and mortality in patients with sepsis was examined using regression analysis, Kaplan-Meier analyses, and a receiver operating characteristic curve. Subgroup and sensitivity analyses were conducted to assess the results' robustness.

RESULTS

RAR, when considered as a continuous variable, was a significant independent in-hospital mortality risk factor (adjusted odds ratio [OR]: 1.383; 95% confidence interval [CI]: 1.164-1.645; P < 0.001). When considering RAR as a categorical variable, the ORs (95% CIs) of hospital mortality for quartile 2 (Q2), Q3, and Q4 compared with Q1 were 1.027 (0.413-2.551), 3.632 (1.579-8.354), and 4.175 (1.625-10.729), respectively, P < 0.001. Similar outcomes were observed for 28- and 90-day mortalities.

CONCLUSIONS

RAR may indicate clinical prognosis for patients with sepsis in the ICU, potentially providing a low-cost, easily repeatable, and accessible biomarker for risk categorization for these patients.

Association Between Red Blood Cell Distribution Width and Coronary Calcification in Patients Referred for Invasive Coronary Angiography

This study aimed to determine whether red cell distribution width (RDW) is associated with coronary calcification. A total of 4796 patients who underwent coronary computed tomography angiography and subsequent invasive coronary angiography were consecutively enrolled. Coronary artery calcium score (CACS), demographic, clinical, and laboratory data were collected from electronic medical records. RDW were expressed in two forms, as a coefficient of variation (CV) or as a standard deviation (SD). Multivariable ordinal logistic regression was used to investigate the association of RDW with CACS grades (CACS 0-99, 100-399, 400-999, and >1000). A significant association was found between elevated RDW-SD and higher CACS grades after full adjustment (adjusted OR per 1-SD increase: 1.11, 95% CI: 1.05-1.18; P < .001), while no significant association was found between RDW-CV and CACS grades. When RDW-SD was analyzed as a categorical variable, it was primarily the 4th quartile of RDW-SD that was associated with elevated CACS grades compared with the 1st quartile (adjusted OR: 1.25, 95% CI: 1.07-1.46; P = .006), while the 2nd and 3rd quartiles showed no significantly higher risk. RDW-SD is a more robust biomarker for coronary calcification compared with RDW-CV.

Impact of calcium channel blockers and angiotensin receptor blockers on hematological parameters in type 2 diabetic patients

Antihypertensive medications have been associated with a reduction in hemoglobin (Hb) levels, leading to clinically significant anemia. We aimed to provide valuable insights into the impact of angiotensin receptor blockers (ARBs) and calcium channel blockers (CCBs) on hematological parameters by measuring the levels of erythropoietin (EPO), ferritin, and complete blood count (CBC) in individuals with type 2 diabetes mellitus (T2DM), particularly considering the duration of the antihypertensives use. In addition to comparing their effects on blood pressure, glycemic status, and renal function, a retrospective cohort study was conducted at the consultation unit of Alsalam Teaching Hospital, Mosul, Nineveh Province, between October 2022 and February 2023. A total of 160 participants were enrolled after being fully examined by the consultants to detect their eligibility for inclusion in the study and to rule out any abnormality. They consisted of 40 healthy controls, 30 T2DM patients (T2DM group), 30 T2DM patients with newly diagnosed hypertension (HT) (T2DM+HT group), 30 type 2 diabetic-hypertensives on ARBs (T2DM+HT+ARBs group), and 30 type 2 diabetic-hypertensives on CCBs (T2DM+HT+CCBs group). Five milliliters of blood was drawn from a vein and divided into two parts. Two milliliters was transferred into an anticoagulant tube for the measurement of HbA1c and complete blood picture. Serum was obtained from the remaining blood and used for assessment of ferritin, EPO, FSG, creatinine, urea, and uric acid. Significantly reduced FSG and HbA1c levels were observed in T2DM+HT+CCBs and T2DM+HT+ARBs groups vs T2DM+HT group (p < 0.05). The T2DM+HT+CCBs group had statistically higher urea levels than the T2DM group (p < 0.05). Both CCBs and ARBs use resulted in reduced creatinine clearance (CrCl). T2DM+HT+CCBs group exhibited slightly higher uric acid levels compared to controls (p < 0.05). Prolonged use of CCBs and ARBs led to disturbances in hematological parameters, with CCBs users showing the lowest levels of hemoglobin (Hb), RBCs, and hematocrit (Hct) among the groups. ARBs users displayed the lowest values of EPO and ferritin compared to other patient groups, along with reduced levels of Hb, RBCs, and Hct, albeit slightly higher than CCBs users. Our study highlights the importance of a balanced approach in prescribing ARBs and CCBs to patients with T2DM, given their potential to induce blood abnormalities, particularly with prolonged usage.

Could a reduced hemoglobin, albumin, lymphocyte, and platelet (HALP) score predict autoimmune hepatitis and degree of liver fibrosis?

OBJECTIVE

Autoimmune hepatitis is a rare inflammatory disease of the liver that is characterized by elevated liver enzymes. The hemoglobin, albumin, lymphocyte, and platelet score, which is derived from hemoglobin, serum albumin, circulating lymphocyte count, and platelet count, is also associated with inflammatory conditions. The aim was to examine the hemoglobin, albumin, lymphocyte, and platelet score of patients with autoimmune hepatitis and to compare it to that of healthy individuals in this retrospective analysis.

METHODS

Subjects diagnosed with autoimmune hepatitis were enrolled in the study, and healthy individuals were enrolled as controls. Moreover, autoimmune hepatitis subjects were grouped into mild or moderate/advanced fibrosis. Furthermore, aspartate to platelet ratio index, Fibrosis-4, and hemoglobin, albumin, lymphocyte, and platelet scores of the autoimmune hepatitis patients and controls were compared. In addition, the hemoglobin, albumin, lymphocyte, and platelet score of the autoimmune hepatitis patients with mild fibrosis is compared to that of those with moderate/advanced fibrosis.

RESULTS

The mean hemoglobin, albumin, lymphocyte, and platelet score of the autoimmune hepatitis patients was 44.2±14.5 while this value was 76.8±15.5 in control subjects. The hemoglobin, albumin, lymphocyte, and platelet score was significantly reduced in autoimmune hepatitis patients than healthy controls (p<0.001). The hemoglobin, albumin, lymphocyte, and platelet score was significantly and negatively correlated with C-reactive protein, aspartate, alanine transaminase, gamma glutamyl transferase, aspartate to platelet ratio index, and Fibrosis-4 values. A hemoglobin, albumin, lymphocyte, and platelet score that was lower than 52.3 had 83% sensitivity and 73% specificity in predicting autoimmune hepatitis. The sensitivity and specificity of the hemoglobin, albumin, lymphocyte, and platelet score were higher than the Fibrosis-4 score in predicting moderate/advanced fibrosis in autoimmune hepatitis.

CONCLUSION

We suggest that the hemoglobin, albumin, lymphocyte, and platelet score be used as an additional noninvasive diagnostic tool for autoimmune hepatitis and to predict moderate/advanced liver fibrosis in patients with autoimmune hepatitis.

Association between red blood cell distribution width-to-albumin ratio and the prognosis in patients with autoimmune encephalitis: a retrospective cohort study

Aim

Red blood cell distribution width-to-albumin ratio (RAR) is a combined new indicator reflecting immunology and has been reported to predict the prognosis of inflammation-related diseases and brain diseases. However, the association and predictive value of RAR in the prognosis of patients with autoimmune encephalitis (AE) has not been reported.

Methods

This was a retrospective cohort study, and data were collected from the Henan Provincial People's Hospital. RAR was categorized according to quartile. The prognosis was assessed using the modified Rankin Scale (mRS), and an mRS score of ≥3 was defined as a poor prognosis. The logistical regression model was used to explore the association between RAR and the prognosis, with results reported as odds ratio (OR) and 95% confidence interval (CI). The predictive value of RAR was evaluated by calculating the area under the receiving operating curve (AUC), sensitivity, specificity, and accuracy.

Results

A total of 175 eligible patients were included for analysis, and 51 patients were identified as having poor prognosis. After adjusting age, cancer, other diseases, histological subtype, antiepileptic therapy, anti-tumor treatment, ICU treatment, and length of stay, RAR in the highest quartile (Q4) was found to be significantly associated with the high odds of poor prognosis (OR = 5.63, 95%CI: 1.98-16.02) compared to RAR in the lowest quartile (Q1). In addition, RAR was identified as a predictor for the prognosis of AE patients (AUC = 0.660, 95%CI: 0.574-0.746).

Conclusion

This study found the close association and predictive value of RAR for the prognosis of AE patients, indicating that RAR might help clinicians identify high-risk populations.

The correlation between red cell distribution width to albumin ratio and all-cause mortality in critically ill patients with rheumatic diseases: a population-based retrospective study

Background

Patients with rheumatic diseases have an increased likelihood of being admitted to the intensive care unit (ICU), highlighting the importance of promptly identifying high-risk individuals to enhance prognosis. This study aimed to assess the correlation of red blood cell distribution width to albumin ratio (RAR) with the 90-days and 360-days survival rates among critically ill rheumatic patients.

Methods

Adult rheumatic patients admitted to the ICU from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were included. The participants were categorized into two groups, survivors (n = 436) and non-survivors (n = 192), based on their 90-days survival outcome. The population was further classified into tertiles using RAR values, with RAR < 4.63 (n = 208), 4.63-6.07 (n = 211), and > 6.07 (n = 209). Kaplan-Meier curves were utilized to evaluate the cumulative survival rates at 90-days and 360-days. The association between RAR and mortality was assessed using restricted cubic splines (RCS) and multivariate Cox regression analysis. Additional subgroup analyses and sensitivity analyses were conducted to further explore the findings. Receiver operating characteristic (ROC) curves were generated to evaluate the predictive performance of RAR.

Results

This study involved 628 critically ill patients with rheumatic diseases, and they had an all-cause mortality of 30.57% at 90-days and 38.69% at 360-days. Kaplan-Meier analysis showed a gradual decrease in both 90-days and 360-days cumulative survival with increasing RAR (χ2 = 24.400, p < 0.001; χ2 = 35.360, p < 0.001). RCS revealed that RAR was linearly related to 90-days and 360-days all-cause mortality risk for critically ill patients with rheumatic diseases (χ2 = 4.360, p = 0.225; χ2 = 1.900, p = 0.594). Cox regression analysis indicated that elevated RAR (> 6.07) was significantly correlated with mortality. The ROC curves demonstrated that an optimal cut-off value of RAR for predicting 90-days mortality was determined to be 5.453, yielding a sensitivity of 61.5% and specificity of 60.3%.

Conclusion

Elevated RAR (> 6.07) was associated with all-cause mortality at 90-days and 360-days among critically ill patients with rheumatic diseases, serving as an independent risk factor for unfavorable prognosis.

Does Dietary Polyunsaturated Fatty Acid Intake Associate With Bone Mineral Density and Limb Structural Changes in Early Rheumatoid Arthritis?

Background

Rheumatoid arthritis (RA) is an inflammatory disease that can result in bone erosion, lean mass lowering, and increase of fat mass without changes in body weight. The dietary consumption of polyunsaturated fatty acids (PUFAs) has been assessed in many studies due to their potential anti-inflammatory effect.

Aim

The aim of this research was to identify if dietary intake of PUFAs associates with bone mineral density (BMD) and limb structural changes in early rheumatoid arthritis (ERA) compared to a population-based control group. The study was conducted because previous results have been insufficient.

Methods

The study group consisted of 83 ERA patients and 321 control subjects. A dual-energy X-Ray absorptiometry (DXA) machine was used to measure hip, lumbar spine, and radius BMD, as well as arm and leg fat, lean, and bone mass. Dietary habits and inflammatory markers were assessed to evaluate the effects to BMD and limb structural changes.

Results

In ERA subjects, higher dietary consumption of PUFAs was associated with a decrease in arm fat mass (b -28.17, P = .02) and possibly with higher lumbar BMD (b 0.008, P = .058). Limb bone and lean mass changes were not associated with dietary intake of PUFAs.

Conclusion

Balanced nutrition is essential. Consuming PUFAs could be beneficial in ERA preventing structural changes to hands, but additional research is needed.

Analysis of Mean Corpuscular Volume and Red Cell Distribution Width in Patients with Aplastic Anemia

To explore the characteristics of hemogram in patients with aplastic anemia (AA), especially mean corpuscular volume (MCV) and red cell distribution width (RDW). We examined the blood routine of 180 new-onset AA patients and used 166 patients with myelodysplastic syndrome (MDS) as controls. Among the 180 AA patients, 105 (58.3%) were diagnosed with severe AA (SAA), while 75 (41.7%) were diagnosed with non-severe AA (NSAA). Compared to MDS, patients with SAA generally had unfavorable hemogram, including significantly lower white blood cell (WBC), absolute neutrophil count (ANC), hemoglobin (Hb), platelet (PLT) and reticulocyte counts (RET). However, WBC, ANC and lymphocyte counts were higher in the NSAA group than in the MDS group; Hb and Ret were comparable between the two groups. 8.5% of SAA patients and 58.1% of NSAA patients presented with macrocytic anemia, whereas 25.7% of SAA and 64.0% of NSAA had a high RDW. In the MDS group, 54.7% of patients presented with macrocytic anemia, and 84.7% had increased RDW. WBC, ANC, PLT, and Ret in a high-RDW group (25.7% of SAA) were significantly higher than in a normal-RDW group (74.3% of SAA). Overall, most SAA patients exhibited normocytic-normochromic anemia, and their hemograms decreased more significantly; more than half of NSAA patients showed macrocytic-heterogeneous anemia, and their hemograms were similar to those of MDS. Patients with elevated RDW may have better residual bone marrow hematopoietic function than those with normal RDW but with more severe anemia.

Promising applications of red cell distribution width in diagnosis and prognosis of diseases with or without disordered iron metabolism

Many indicators, including red cell distribution width (RDW) and iron metabolism, are sensitive to a variety of risk factors, and are associated with the pathological alterations and disease onset. RDW reflects the degree of heterogeneous volumes of peripheral red blood cells (RBCs). It has been well-known that increased RDW indicates iron deficiency anemia, hemolytic anemia, ineffective erythropoiesis, and shorten lifespan of RBCs. Increased RDW is also prevalent in various non-anemic pathological conditions and diseases. We here review the factors affecting RDW, particularly disordered iron metabolism, chronic inflammation, and oxidative stress, and recapitulate the interplays among these factors. Furthermore, we review the application of increased RDW together with disordered iron homeostasis and the deregulations of hepcidin expression and ferritin levels in the diagnoses and prognosis of anemic and nonanemic diseases. RDW is inexpensive and readily available and may be valuable in adding to the diagnosis and monitoring of many pathological conditions. RDW combined with other indicators, for example, hepcidin and ferritin levels, should be utilized more frequently in clinical practice.

The mechanism of peach kernel and safflower herb-pair for the treatment of liver fibrosis based on network pharmacology and molecular docking technology: A review

Peach kernel and safflower herb-pair (PKSH) are widely used in traditional Chinese medicine for the treatment of liver fibrosis. Therefore, network pharmacology was performed to explore potential therapeutic targets and pharmacological mechanisms of PKSH. The active components of PKSH from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database and potential targets of liver fibrosis from the Online Mendelian Inheritance in Man, Pharmacogenetics and Pharmacogenomics Knowledge Base, GeneCards, and DrugBank Database were identified. The protein-protein interaction network was constructed using Cytoscape (v3.8.0). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed for the treatment of liver fibrosis, and molecular docking was carried out to verify the results of network pharmacology analysis. After screening disease-related genes, 179 intersection genes overlapped between 196 target proteins of the active compound and 9189 potential disease targets. Furthermore, we obtained 15 hub nodes and 146 edges to establish a related network diagram using CytoNCA. 2559 Gene Ontology biological processes underlying PKSH have been explored for the treatment of liver fibrosis, in which the response to oxidative stress plays a vital role. Furthermore, Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that PKSH might play a role in inhibiting liver fibrosis, mainly through the PI3K-Akt signaling pathway. PKSH can regulate the response to oxidative stress through the PI3K-Akt signaling pathway for the treatment of liver fibrosis. The main bioactive components in PKSH, including quercetin and luteolin, can activate the PI3K-Akt signaling pathway by binding with the hub targets of the disease, which may provide insights into drug development for liver fibrosis.

Value of red blood cell distribution width in prediction of diastolic dysfunction in cirrhotic cardiomyopathy

BACKGROUND

Clinical diagnosis of cirrhotic cardiomyopathy (CCM) often encounters challenges of lack of timeliness and disease severity, with the commonly positive indicator usually associated with advanced heart failure.

AIM

To explore suitable biomarkers for early CCM prediction.

METHODS

A total of 505 eligible patients were enrolled in this study and divided into four groups according to Child-Pugh classification: Group I, Class A without CCM (105 cases); Group II, Class A with CCM (175 cases); Group III, Class B with CCM (139 cases); and Group IV, Class C with CCM (86 cases). Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to determine whether red blood cell distribution width (RDW) was an independent risk factor for CCM risk. The relationships between RDW and Child-Pugh scores, Model for End-Stage Liver Disease (MELD) scores, and N-terminal pro-brain natriuretic peptide (NT-proBNP) were analyzed by Pearson correlation analysis.

RESULTS

A constant RDW increase was evident from Group I to Group IV (12.54 ± 0.85, 13.29 ± 1.19, 14.30 ± 1.96, and 16.25 ± 2.13, respectively). Pearson correlation analysis showed that RDW was positively correlated with Child-Pugh scores (r = 0.642, P < 0.001), MELD scores (r = 0.592, P < 0.001), and NT-proBNP (r = 0.715, P < 0.001). Furthermore, between Group I and Group II, RDW was the only significant index (odds ratio: 2.175, 95% confidence interval [CI]: 1.549-3.054, P < 0.001), and it reached statistical significance when examined by ROC curve analysis (area under the curve: 0.686, 95%CI: 0.624-0.748, P < 0.001).

CONCLUSION

RDW can serve as an effective and accessible clinical indicator for the prediction of diastolic dysfunction in CCM, in which a numerical value of more than 13.05% may indicate an increasing CCM risk.

A novel clinical prediction model of severity based on red cell distribution width, neutrophil-lymphocyte ratio and intra-abdominal pressure in acute pancreatitis in pregnancy

BACKGROUND

Acute pancreatitis in pregnancy (APIP) with a high risk of death is extremely harmful to mother and fetus. There are few models specifically designed to assess the severity of APIP. Our study aimed to establish a clinical model for early prediction of severity of APIP.

METHODS

A retrospective study in a total of 188 patients with APIP was enrolled. The hematological indicators, IAP (intra-abdominal pressure) and clinical data were obtained for statistical analysis and prediction model construction.

RESULTS

According to univariate and multivariate logistic regression analysis, we found that red cell distribution width (RDW), neutrophil-lymphocyte ratio (NLR) and Intra-abdominal pressure (IAP) are prediction indexes of the severity in APIP (p-value < 0.05). Our novel clinical prediction model was created by based on the above three risk factors and showed superior predictive power in primary cohort (AUC = 0.895) and validation cohort (AUC = 0.863). A nomogram for severe acute pancreatitis in pregnancy (SAPIP) was created based on the three indicators. The nomogram was well-calibrated.

CONCLUSION

RDW, NLR and IAP were the independent risk factors of APIP. Our clinical prediction model of severity in APIP based on RDW, NLR and IAP with predictive evaluation is accurate and effective.

Clinical utility of haematological inflammatory biomarkers in predicting 30-day mortality in hospitalised adult patients with COVID-19

Coronavirus disease 2019 (COVID-19) is a multisystem disease affecting respiratory, cardiovascular, gastrointestinal, neurological, immunological and haematological systems. The most important indices that have been studied are platelet (PLT) indices in addition to the PLT count and red blood cell distribution width (RDW). This retrospective study included 95 patients with COVID-19 and was conducted at the Hospital Isolation, Scientific and Medical Research Centre and Clinical Pathology Department at Zagazig University Hospitals, Egypt over 6 months from March to August 2021. All patients on admission had a full blood count, which included white blood cell (WBC) count, haemoglobin, RDW, PLT count and its indices in addition to PLT-to-WBC ratio (PWR) and PLT-to-lymphocyte ratio (PLR), which were calculated for all the study patients. There were significant linear correlations for higher levels of the PLR, PWR and RDW and mortality rate (p = 0.03, p < 0.001 and p < 0.001 respectively). Moreover, on multivariable analysis the RDW, PLT count and PWR levels were independent prognostic predictors for mortality with a hazard ratio [HR] of 1.25 (95% confidence interval [CI] 1.09-1.44, p = 0.002), 1.00 (95% CI 0.99-1.00, p = 0.03) and 2.3 (95% CI 1.21-4.48, p = 0.01) respectively. The RDW and PLT indices are accessible predictors that can be valuable prognostic factors for survival assessment and risk stratification of COVID-19.

The Association between Placental Abruption and Platelet Indices

Objective: Placental abruption (PA) is an obstetric emergency. This study investigated the use of platelet indices in PA in its early stages to determine if it could aid in diagnosis. Materials and Methods: Sixty-two pregnant women with PA and 130 pregnant women who delivered due to idiopathic preterm delivery were included in this case-control study. Blood samples including platelet indices, biochemical, and coagulation parameters were obtained before cesarean section. Maternal and neonatal outcomes were recorded. Results: There was no significant difference between the groups as to hemoglobin, hematocrit, and white blood count. Platelet, mean platelet volume (MPV), and platelet to lymphocyte ratio (PLR) were significantly lower, platelet distribution width (PDW) was significantly higher in the PA patients. Conclusion: In the current study, MPV and PLR were lower and PDW was higher in PA patients. These parameters may be useful in assessment of PA.

Hematological parameters and early-onset coronary artery disease: a retrospective case-control study based on 3366 participants

Background

Thrombosis and inflammation are crucial elements in the pathogenesis of cardiovascular disease. Hematological parameters elucidate information involving the inflammatory and blood coagulation processes.

Objectives

The current study explored the association of hematological parameters with EOCAD to identify specific risk factors.

Design

A single-center retrospective case-control study was conducted with 1693 coronary artery disease patients and 1693 controls.

Methods

Hematological parameters were examined through an automated analyzer.

Results

The basophil percentage was significantly reduced in EOCAD (0.43 ± 0.26, p < 0.001) and MI (0.33 ± 0.24, p < 0.001) groups compared with controls (0.54 ± 0.28). The eosinophil percentage was also significantly lower in EOCAD (2.21 ± 1.71, p < 0.001) and MI (1.71 ± 2.44, p < 0.001) groups compared with controls (2.41 ± 1.75). The lymphocyte percentage in patients of EOCAD and MI and controls was 31.65 ± 7.93, 25.48 ± 9.43, and 34.82 ± 7.28, respectively. A significant difference was observed among the groups (p < 0.001). Except for the mean corpuscular hemoglobin (MCH), other red blood cell (RBC) parameters significantly differed between EOCAD patients and controls. The red blood cell distribution width (RDW), hematocrit (HCT), RBC count, mean corpuscular hemoglobin concentration (MCHC), mean corpuscular volume (MCV), and hemoglobin level were associated with EOCAD prevalence after adjusting for baseline differences. Platelet volume distribution width (PDW) also correlated with EOCAD prevalence (OR_adjust = 1.087, 95% CI: 1.044-1.131).

Conclusions

Hematological parameters are closely associated with EOCAD. Moreover, leukocyte parameters correlated with the presence and severity of the disease. In addition, erythrocyte parameters were associated with the disease presence but not with the disease severity. Among the platelet parameters, only PDW was related to the disease presence.

Investigation of the relationship between red blood cell distribution width and mortality in patients with hemophagocytic lymphohistiocytosis: a retrospective study

BACKGROUND

Red blood cell distribution width (RDW) is related to sepsis-related mortality. Hemophagocytic lymphohistiocytosis (HLH) is a syndrome caused by severe infection, tumors, or autoimmunity without a specific diagnosis.

OBJECTIVE

To explore the correlation between RDW and mortality in patients with HLH.

DESIGN AND SETTING

A retrospective study conducted in a hospital in China.

METHODS

A total of 101 inpatients with HLH from January 1, 2017 to December 31, 2021 were divided into non-survivor (n = 52) and survivor (n = 49) groups. A non-parametric test was used to analyze demographic, clinical, and laboratory data between groups. Independent variables with P < 0.05 were analyzed using binary logistic regression to screen out mortality-related variables. Selected variables were subjected to multivariate logistic regression analysis, and those with strong correlations were screened. Receiver operating characteristic (ROC) curves of strongly correlated variables and area under curve (AUC) values were obtained.

RESULTS

The APACHE II score, RDW, and platelet (PLT) and fibrinogen (FIB) levels (P < 0.05) different significantly. RDW, PLT, FIB were correlated with mortality. The AUC values of RDW, PLT, and FIB were 0.857, 0.797, and 0.726, respectively. RDW was associated with mortality in patients with HLH (P < 0.01, cut-off value: 16.9). The sensitivity and specificity of predicting mortality were 97.96% and 96.1%, respectively.

CONCLUSION

Logistic regression analysis showed a correlation between RDW and patients' mortality. Therefore, RDW can be used to predict mortality in patients with HLH.

"Lymphocyte * Neutrophil" count decreased in SARS-CoV-2 Omicron patients in Shanghai with no significant change in CRP and SAA

Background

At present, there is a new variant Omicron BA.2 of SARS‐CoV‐2. In some previous studies, it was found that CBC, NLR, CRP, SAA, etc. in patients with SARS‐CoV‐2 had a series of changes, which were significantly correlated with the diagnosis and prognosis of patients. Therefore, in order to find specific diagnostic indicators, we explore the changes in these blood indicators and inflammatory indicators in patients with the SARS‐CoV‐2 Omicron.

Methods

A total of 127 Omicron confirmed patients who had visited fever clinic was selected as the positive group, and 75 Omicron excluded patients were selected as the negative group. We collected and analyzed the CBC, CRP, SAA test data, and clinical data of all subjects for analysis and statistics.

Results

WBC, NEU, LYM, EOS, PLT, PCT, LYM * NEU count compared with the negative group were significantly lower (p < 0.05); on the contrary, CNR were significantly higher (p < 0.05); The levels of CRP and SAA were not significantly different from those of the negative group (p > 0.05); the AUC of 0.781 for the diagnosis of LYM * NEU with an optimal cutoff value of 5.79, with a sensitivity and specificity of 68% and 73%, respectively, Youden index of 0.41, giving the best diagnostic performance.

Conclusion

The decreased LYM * NEU count can be used as the early, rapid, and accurate diagnostic indicator for Omicron. While due to the attenuated toxicity of BA.2 sublineage, CRP and SAA had no significance in the differential diagnosis of confirmed patients.

Could red cell distribution width be used for predicting cardiac injury in neonates with COVID-19?

BACKGROUND

Coronavirus disease 2019 (COVID-19) can affect people of all age groups and it can occasionally cause life-threatening clinical illnesses in immunologically immature populations, especially in newborns. High red cell distribution width (RDW) values were used as an early prognostic biomarker of some neonatal diseases. We aimed to determine the prognostic value of RDW in severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infected neonates.

METHODS

Newborns with positive SARS-CoV-2 polymerase chain reaction (PCR) test from a nasopharyngeal swab sample, who had refractory fever (>38°C and lasting more than 24 h during hospitalization), were screened for multisystem inflammatory syndrome in newborns (MIS-N), systemic inflammatory indexes calculated and cardiologic evaluations. Due to troponin levels (high: >45 ng/L and low: ≤45 ng/L) patients were grouped.

RESULTS

Out of the 68 SARS-CoV-2 PCR-positive newborns, 26 patients had refractory fever. Comparison of laboratory findings between the high and low-troponin groups showed that RDW and neutrophil/lymphocyte ratio values were significantly higher in patients with high troponin levels (p = 0.022 and p = 0.030, respectively). The cut-off values with optimal sensitivity and specificity were determined as 1.00 for neutrophil/lymphocyte ratio (p = 0.205) and 16.6 for RDW (p = 0.014). None of the patients died.

CONCLUSIONS

Neonatal COVID-19 generally has a benign prognosis, but can progress to severe disease and cases of MIS-N are rare. RDW could be prognostic in the diagnosis and management of neonates with SARS-CoV-2 infection with high troponin levels.

Red cell distribution width and in-hospital mortality in septic shock: A public database research

OBJECTIVE

This study aimed to explore the relationship between red cell distribution width (RDW) and in-hospital mortality in septic shock based on a large-scale public database.

METHODS

All patients with septic shock in MIMIC-IV were enrolled. Based on RDW values, the general characteristics of different groups were compared. Different models were constructed for exploring the association of RDW and in-hospital mortality. To assess the predictive value of RDW, receiver operator characteristic (ROC) curve analysis was applied.

RESULTS

A total of 3006 patients with septic shock were included and in-hospital mortality was 32.27% (n = 970). The results of the fully adjusted model demonstrated that RDW was positively associated with in-hospital mortality in septic shock patients after adjusting all confounders (OR = 1.12, 95% CI:1.08-1.17, p < .001). A linear relationship between RDW and in-hospital mortality was found. For predicting in-hospital mortality, the area under the ROC curve (AUC) of RDW was .602 and the best threshold of RDW was 17.25%.

CONCLUSION

RDW was associated with in-hospital mortality in septic shock. It could be a useful marker for predicting clinical outcomes in septic shock.

Impact of red cell distribution width and red cell distribution width/albumin ratio on all-cause mortality in patients with type 2 diabetes and foot ulcers: a retrospective cohort study

Background

Red blood cell distribution width (RDW) has emerged as a prognostic factor for mortality in various diseases. Up to now, few studies have focused on the prognostic value of RDW in patients with diabetic foot ulcers (DFUs). This retrospective cohort study aimed to investigate the impact of RDW and RDW/albumin (ALB) ratio on all-cause mortality in patients with DFUs.

Methods

This study included 860 patients with DFUs in a tertiary academic hospital. The associations of RDW and RDW/ALB with all-cause mortality were assessed by multivariable cox regression analyses. The pairwise comparisons of receiver operating characteristic (ROC) curves were performed to compare the predictive performance of RDW and RDW/ALB ratio. Harrell’s concordance index, integrated discrimination improvement, and net reclassification improvement were used to estimate the improvements in risk discrimination.

Results

Patients with high RDW and RDW/ALB had lower overall survival rates (all P < 0.001). The multivariable Cox regression revealed that high RDW [adjusted hazard ratio (HR) 2.426, 95% confidence interval (CI): 1.557–3.778, P < 0.001] and high RDW/ALB (adjusted HR 2.360, 95% CI: 1.414–3.942, P = 0.001) were independent associated with high all-cause mortality. In subgroup analyses, the comparative analysis of ROC curves revealed that the discriminating ability of the RDW/ALB ratio was significantly superior to RDW in patients with no severe DFUs or no severe peripheral artery disease, or in young and middle-aged patients (all P < 0.05). Adding RDW and RDW/ALB ratio to base models improved discrimination and risk reclassification for all-cause mortality.

Conclusions

RDW and RDW/ALB ratio are robust and independent prognostic markers in patients with DFUs. The RDW/ALB ratio appears to be of more predictive value for mortality in younger and less severely ill patients with DFUs. Both RDW and RDW/ALB ratio can provide incremental predictive value for all-cause mortality over traditional risk factors. RDW and RDW/ALB ratio can be used to identify high-risk patients with DFUs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-022-01534-4.

Can Complete Blood Count Picture Tell Us More About the Activity of Rheumatological Diseases?

Background:

In clinical practice, distinguishing disease activity in patients with rheumatological illnesses is challenging.

Objectives:

We aimed to investigate clinical associations of hemogram-derived indices, namely: red cell distribution width (RDW), mean platelet volume (MPV), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII) with disease activity in patients with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and ankylosing spondylitis (AS).

Methods:

In 250 patients with rheumatological disease and 100 healthy age-matched controls, we investigated disease activity scores and indicators and evaluated their association with hemogram-derived indices values.

Results:

Compared with the control group, RDW, MPV, and PLR significantly increased (P < .001) in the three studied disorders (RA, SLE, and AS), but LMR dramatically decreased. SII was considerably higher in RA and AS patients compared with controls but not in SLE patients. On the other hand, NLR rose dramatically in SLE patients compared with controls (P = .043), but did not change much in RA and AS patients (P > .05). RDW and MPV showed significant changes (P < .001) in the three studied diseases (RA, SLE, and AS) according to disease activity. They significantly increased across worsening activity scores. Only in the SLE group, PLR was significantly increased with disease activity (P < .001), while LMR showed a significant decrease (P = .016).

Conclusions:

Clinicians must pay close attention to complete blood count (CBC) analysis and its various derived ratios to better characterize the activity of rheumatological disorders and anticipate the disease course and prognosis.

Usefulness of Platelet Distribution Width and Fibrinogen in Predicting In-stent Restenosis With Stable Angina and Type 2 Patients With Diabetes Mellitus

Aim

The purpose of this study was to investigate the predicting value of platelet distribution width (PDW) and fibrinogen for in-stent restenosis (ISR) in patients with stable angina pectoris and type 2 diabetes mellitus (T2DM) after drug-eluting stent (DES) implantation.

Methods

We enrolled 161 patients who were readmitted with recurrent chest pain and successfully reviewed for coronary angiography and were divided into the ISR and non-ISR groups. We compared the levels of PDW and fibrinogen between the two groups. Logistic regression was used for analyzing independent predictors of ISR. The receiver operating characteristic (ROC) curve analysis was used to determine the optimum cutoff points of PDW and fibrinogen to predict ISR. The Kaplan–Meier survival curves for target lesion failure (TLF) by levels of PDW and fibrinogen.

Results

The multivariate logistic regression analysis showed that PDW and fibrinogen were independent predictors of ISR [odds ratio (OR) = 1.209, 95% CI: 1.024–1.427, p = 0.025; OR = 1.006, 95% CI: 1.002–1.011, p = 0.010, respectively]. The ROC analyses showed that PDW ≥ 13.15% and fibrinogen ≥ 333.5 mg/dl were predictive of ISR in patients with stable angina pectoris and T2DM after DES implantation. However, the Kaplan–Meier estimate for TLF showed no statistical significance.

Conclusion

Higher levels of PDW and fibrinogen were associated with the incidence of ISR in patients with stable angina with T2DM after DES implantation, but were not independent predictors of TLF.

The role of platelet parameters for the diagnosis of preeclampsia among pregnant women attending at the University of Gondar Comprehensive Specialized Hospital antenatal care unit, Gondar, Ethiopia

Background

Preeclampsia (PE) is a pregnancy‐related illness characterized by high blood pressure (BP) and proteinuria after the 20th gestational week (GW). Platelet (PLT) parameter changes are the common hematological abnormalities observed in PE patients. The main aim of this study was to assess the role of PLT parameters for PE diagnosis among pregnant women.

Methods

A comparative cross‐sectional study was conducted at the University of Gondar Specialized Hospital. A total of 126 pregnant women (63 normotensive [NT] and 63 PE) were recruited using a convenient sampling method. Three milliliter blood was collected from each participant, and PLT parameters were determined using Sysmex XS‐500i analyzer. An independent t‐test supplemented with receiver‐operating characteristics (ROC) were used for comparisons and diagnostic value of PLT parameters between the study groups.

Results

Platelet count (PC) was significantly lower in the PE group compared to that in the NT group, whereas mean platelet volume (MPV), platelet large cell ratio (P‐LCR), and platelet distribution width (PDW) were significantly higher in PE. MPV had the largest area under the curve (AUC) [0.91: 95% CI; 0.85–0.96] followed by PC [0.79: 95% CI; 0.72–0.87]. MPV can differentiate PE patients from NT pregnant women at cut‐off value ≥12.10 fl (84.1% sensitivity and 87.3% specificity) while PC can indicate PE at a cut‐off value ≤176.5 × 10⁹/L (65.1% sensitivity and 87.3% specificity).

Conclusion

A decreased PC and an increased MPV, P‐LCR, and PDW can be used as a simple, cost‐effective, quick, and reliable method of PE screening. Of them, MPV is the best indicator of PE.

Plateletcrit for predicting prognosis in patients with hepatic sinusoidal obstruction syndrome caused by pyrrolizidine alkaloid

Background

Platelet index was reported to be used as a potential prognostic marker in patients with liver fibrosis. We aimed to explore the association between plateletcrit (PCT) and severity of hepatic sinusoidal obstruction syndrome (HSOS).

Methods

Seventy consecutive patients who diagnosed as HSOS by CT and medical history during January 2017‐November 2021 were included. All patients were divided into two groups which confirmed as favorable prognosis and poor prognosis on the basis of Child‐Turcotte‐Pugh score system. The clinical manifestation and laboratory parameters of two groups were retrospectively selected. PCT was evaluated within two groups, and the diagnostic accuracy was evaluated by the area under the receiver operating characteristic curve.

Results

The significant difference between the two groups not only in diarrhea, abdominal pain, abdominal distention, urine volume, and skin ecchymosis (p < 0.005), but also in WBC count, NE count, PLT count, TBIL, and D‐Dimer (p < 0.005) were found. The PCT level was significantly higher in HSOS patients with poor prognosis (0.169 ± 0.060) than favorable prognosis patients (0.110 ± 0.047). The area under the receiver operating characteristic curve of RDW in predicting poor prognosis was 0.781, with 67.70% sensitivity and 79.5%specificity.

Conclusions

The PCT level was correlated positively with the poor prognosis in HSOS patients. PCT can be a promising indicator for predicting prognosis in HSOS

Influence of Red Blood Cell Distribution Width on All-Cause Death in Critical Diabetic Patients with Acute Kidney Injury

OBJECTIVE

To explore the relationship between red blood cell distribution width (RDW) and all-cause death in critical diabetic patients with acute kidney injury (AKI).

METHODS

The clinical data of critical diabetic patients with AKI in MIMIC-III database were analyzed retrospectively. According to the survival status of 28-day after AKI and levels of RDW, patients were divided into survival and death groups, high RDW (RDW > 15.3%) and low RDW groups (RDW ≤ 15.3%). Kaplan-Meier curves were used to compare the survival rates of diabetic patients with AKI in different RDW and AKI stages, and Cox regression analysis was used to evaluate the risk factors of 28-day all-cause death in critical diabetic patients with AKI.

RESULTS

A total of 5200 patients with critical diabetic patients with AKI were included in this study with the male to female ratio of 1.53:1. The mean follow-up time was 24.97 ± 7.14 days, and the 28-day all-cause mortality was 17.9% (931/5200). Age, RDW, blood urea nitrogen, serum creatinine, lactic acid, proportion of AKI stage, sepsis and respiratory failure in the death group were higher than those in the survival group, while mean arterial pressure (MAP) and red blood cell count were lower than those in the survival group. Kaplan-Meier analysis showed that the 28-day survival rate of the high RDW group was significantly lower than that of the low RDW group (log-rank χ ² = 9.970, P = 0.002). Multivariate Cox regression analysis showed that advanced age (HR = 1.042, 95% CI = 1.021-1.063), decreased MAP (HR = 0.984, 95% CI = 0.969-0.998), stage 3 AKI (HR = 3.318, 95% CI = 1.598-6.890) and increased RDW (HR = 1.255, 95% CI = 1.123-1.403) were independent risk factors of 28-day all-cause death in critical diabetic patients with AKI (P < 0.05).

CONCLUSION

High level of RDW is an important risk factor of all-cause death in critical diabetic patients with AKI, and it may be used as a valuable index to classify the mortality.