Hematological Profile of Macaca nemestrina Across Different Age Groups

Objective: To explore the predictive values of routine blood test results for iron deficiency (ID) screening in children. Methods: Routine blood test results and serum ferritin (SF) levels from 1 443 healthy children (862 boys, 581 girls) aged 6 months to 18 years, who were seen for well-child visits between June 2017 and May 2019 in Children's Hospital, Zhejiang University School of Medicine, were retrospectively analyzed. ID was defined as SF<20 μg/L, iron deficiency anemia (IDA) as ID with anemia (hemoglobin(Hb)<110 g/L at 6 months-5 years of age, Hb<120 g/L at 6-18 years of age), non-anemia ID as ID without anemia, non-ID anemia as SF≥20 μg/L with anemia, and healthy control subjects as those with SF≥20 μg/L but without anemia. The blood test results including Hb, mean corpuscular volume (MCV), mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width (RDW), and the percentage of low hemoglobin density (LHD) of healthy control, non-anemia ID, non-ID anemia, and IDA groups were compared by analysis of variance (ANOVA) or non-parametric test, quantitative data were described as x±s or M(interquartile range), and receiver operating characteristic curve (ROC) analysis was applied to assess predictive values of routine blood test results and LHD for detecting IDA and ID. Results: Among 1 443 children with median age of 2.1(3.3) years, 1 061 children were in healthy control group, 292 in non-anemia ID group, 43 in non-ID anemia group and 47 in IDA group. The prevalence of ID was much higher than that of anemia (23.5% (339/1 443) vs. 6.2% (90/1 443) , χ(2)=169.76, P<0.01). Compared with control group, non-anemia ID group showed higher LHD (0.088 (0.093) vs.0.073 (0.068), P<0.01) and RDW (0.131±0.013 vs. 0.126±0.008, P<0.01), lower MCV ((80±4) vs. (83±4) fl, P<0.01) and MCHC values ((326±9) vs. (329±8) g/L, P<0.01). IDA group showed higher LHD (0.322(0.544)) and RDW (0.151±0.018), lower MCV ((73±6) fl) and MCHC values((309±14) g/L) than non-anemia ID group (all P<0.01). The area under curve (AUC) values of MCHC, LHD, RDW and MCV for detecting ID were 0.63 (95%CI: 0.60-0.67), 0.63 (95%CI:0.60-0.67), 0.67 (95%CI: 0.63-0.70) and 0.73 (95%CI: 0.69-0.76) respectively. With cutoff limits (MCV<80.2 fl, RDW>0.131 or MCHC<322 g/L), MCV, RDW and MCHC showed higher sensitivity for screening ID than hemoglobin (0.540, 0.469 and 0.336 vs. 0.139, χ(2)=121.70, 87.47, 35.56, all P<0.01). Conclusion: MCV, RDW and MCHC can be used to screen ID in primary health care settings.

BackgroundGastric cancer (GC) is one of the leading causes of cancer-related death worldwide. This study was designed to investigate the prognostic values of red blood cell (RBC)-associated indicators, including RBC, hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and RBC distribution width (RDW) in resectable GC patients.MethodsIn this retrospective study, a total of 104 pathologically confirmed GC patients were recruited. These cases were divided into two groups according to the median values of pretreatment RBC, HGB, HCT, MCV, MCH, MCHC, or RDW. To evaluate the changes in RBC-associated indicators values after treatment, we introduced the concept of post-/pre-treatment ratios (≤1 suggested RBC, HGB, HCT, MCV, MCH, MCHC, or RDW values were not increased after therapy, while >1 represented those in increased levels).ResultsThe lower pretreatment MCHC levels were correlated with worse overall survival (OS), while pretreatment levels of RBC, HGB, HCT, MCV, MCH, or RDW were not. The whole course of treatment (surgery plus adjuvant chemotherapy) significantly decreased the values of MCHC, and increased the values of MCV and RDW, whereas it had no obvious effects on the values of RBC, HGB, HCT, or MCH. Patients with post-/pre-treatment MCV ratio >1 had an increased survival ratio. Meanwhile, post-/pre-treatment RBC, HGB, HCT, MCH, MCHC, or RDW ratios were not correlated with outcomes. Multivariate Cox regression analysis revealed that the American Joint Committee on Cancer (AJCC) stage (III), and lower pretreatment MCHC levels were independent risk factors affecting OS. The receiver operating characteristic (ROC) curve analysis showed that an MCHC value of 341.98 g/L was the optimal cutoff value for prognosis, with a sensitivity of 58.3% and a specificity of 75.0%.ConclusionsPretreatment MCHC levels could become a potential prognostic factor for resectable GC.

The diagnostic usefulness of red cell distribution width (RDW) in association with usual biochemical and haematological parameters in detection of iron deficiency has been studied in a representative sample population of 384 children aged six months to six years in Reunion. Traditional parameters measured included serum ferritin (Fri), total iron binding capacity (TIBC), serum iron (SI), transferrin saturation (TSat), free erythrocyte protoporphyrin (FEP), mean corpuscular haemoglobin concentration (MCHC), mean corpuscular haemoglobin (MCH), mean corpuscular volume (MCV) and haemoglobin concentration (Hb). RDW is an index of the variation in red cell size (anisocytosis). This recently derived parameter is measured by some models of electronic cell counter. It is not usually used in epidemiological investigations. Of the children studied, 13.6% had Hb less than 11 g/dl. The Pearson correlation coefficients between circulating iron parameters (SI, TSat, TIBC) or iron storage parameters (Fri) and RDW, MCV, MCH and FEP were greater than with Hb. The best correlations were observed for RDW, MCV and MCH with all other parameters. In this study, the upper limit value of RDW was defined as 18% using a Technicon model H-6000 counter. Other iron deficiency criteria were also defined and found to be in agreement with the international reference values for children aged six months to six years; MCV less than 70 fl, MCH less than 22 pg, MCHC less than 32%, FEP greater than 35 micrograms/dl whole blood, SI less than 6 mumols/l, TIBC greater than 85 mumols/l, TSat less than 10% and Fri less than 12 micrograms/l. The combination of sensitivity and specificity was best for RDW and worst for MCHC.(ABSTRACT TRUNCATED AT 250 WORDS)

BackgroundRed blood cell distribution width (RDW) is a parameter of the complete blood count (CBC) test. Recent evidence suggests that pretreatment RDW is associated with patient survival in various malignant tumors. We explored the association of pretreatment RDW and other red blood cell (RBC) parameters with clinical parameters and assessed their prognostic impact on overall survival (OS) in patients with glioblastoma (GBM).Material/MethodsIn total, 109 patients with newly diagnosed GBM were retrospectively reviewed. The Cox proportional hazards regression model and Kaplan-Meier method were used to examine the survival function of pretreatment RDW, mean cell volume (MCV), hemoglobin (HGB), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), RBC count, and hematocrit (HCT) values in patients with newly diagnosed GBM.ResultsUnivariate analysis showed that MCV, MCHC, and RDW were associated with overall survival (OS). However, only RDW remained significant in multivariate analysis. The Kaplan-Meier survival curves showed that patients belonging to the high-RDW group had a worse median OS (293 days versus 375 days, P=0.023) than those belonging to the low-RDW group.ConclusionsThe present study showed that pretreatment RDW was superior to MCV and MCHC as a prognostic predictor of clinical outcome in patients newly diagnosed with GBM. Pretreatment RDW was derived directly from the CBC test, which can be easily performed in clinical practice. Therefore, pretreatment RDW values can provide additional prognostic information for patients with GBM. Further larger and prospective studies are needed to confirm these findings and to investigate the mechanism by which of RDW is associated with prognosis in patients with GBM.

Background: Red cell distribution width (RDW) is a routine parameter in fully automated hematology auto analyzer, can give the idea of iron deficiency before haemoglobin and mean corpuscular volume in early iron deficiency or latent stage. Patient can be benefited by doing complete blood count including RDW for the diagnosis of early iron deficiency as a cheaper test than iron profile. This study was aimed to predict early iron deficiency by RDW, mean corpuscular volume and haemoglobin concentration in pregnant women.&#x0D; Methods: In this study, 190 pregnant women were included from Gynae and Obstetric outdoor of Bangabandhu Sheikh Mujib Medical University from august 2008-2009. Complete blood count including haemoglobin percentage, mean corpuscular volume and RDW and iron profile were done. RDW was compared with haemoglobin concentration and mean corpuscular volume in various stages of iron deficiency.&#x0D; Results: RDW was more significant than haemoglobin concentration in latent iron deficiency when haemoglobin level was normal (p&lt;0.05). In mild and moderate iron deficiency anemia, RDW was increased progressively though haemoglobin level was reduced. RDW was more significant than mean corpuscular volume level in latent iron deficiency, mild and moderate iron deficiency anemia. The difference of mean corpuscular volume and RDW was statistically significant (p&lt;0.05) in latent iron deficiency, mild iron deficiency anaemia and moderate iron deficiency anaemia (p value of 0.001, 0.001 and 0.011). In this study RDW had sensitivity 82.3% and specificity 97.4%. haemoglobin concentration and mean corpuscular volume had sensitivity 56.6% and 29.2 % and specificity 90.9% and 98.7 % respectively. Based on the receiver-operator characteristic (ROC) curves RDW had the best area (0.925) under curve compared to haemoglobin and mean corpuscular volume.&#x0D; Conclusion: Latent iron deficiency without other existing disease like haemoglobinopathy, early folate / vit B12 deficiency could be predicted early by increased RDW when haemoglobin concentration and mean corpuscular volume were normal.&#x0D; Birdem Med J 2019; 9(2): 111-116

Background: Several metabolic and biochemical processes, hormone secretion, and the haematological system are all affected by smoking. Numerous studies have found that smoking is associated with higher levels of haemoglobin concentration (Hb%), total red blood cell count (RBC), and red cell distribution width (RDW). Objectives: To study the RBC parameters in healthy male smokers and non-smokers among adults. Methodology: This research was carried out in the Department of Physiology of Sylhet MAG Osmani Medical College, from July, 2021 to June, 2022. A total of 200 participants were included with healthy adult smokers and age-matched healthy adult non-smokers. History and physical examinations were used to evaluate each individual. We measured height and weight, and calculated body mass index of the subjects. Calculations were made on cigarette smoking intensity and duration. Blood was collected to determine RBC parameters, such as total RBC count, haemoglobin level, haematocrit, mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC) and red cell distribution width (RDW) by using Sysmex 500i automatic haematology analyzer (Japan). Results: Among the 200 participants, 100 were adult smokers and another 100 age-matched healthy adult non-smokers. The RBC indices were significantly elevated in smokers compared to non-smokers group: mean haemoglobin concentration (g/dl)+ standard deviation (SD) were 14.17 ± 2.13 versus 13.27 ± 1.39 respectively with p&lt;0.001, mean haematocrit (HCT) (percent)+ SD were 41.60 ± 6.88 versus 39.13 ± 5.46 respectively with p=0.005, mean corpuscular volume (MCV) (fl) + SD 91.13 ± 8.86 versus 88.33 ± 5.58 respectively with p=0.033, mean corpuscular hemoglobin (MCH) (pg) + SD 31.16 ± 3.26 versus 30.05 ± 3.0 respectively with p=0.016 and mean red cell distribution width (RDW) (percent)+ SD 14.74 ± 1.63 versus 14.00 ± 1.57 respectively with p=0.001. However, RBC count (×106/μl) (4.60 ± 0.80 versus 4.46 ± 0.60; p=0.143) and mean corpuscular haemoglobin concentration (MCHC) (g/dl) (34.23 ± 2.11 versus 34.11 ± 2.32; p=0.707) did not differ significantly between smoker and non-smoker groups. There was no statistical difference between mild, moderate, and severe smokers, according to the study's variables. Conclusion: MCV, MCH, RDW, haematocrit, and haemoglobin concentration were all significantly higher in smokers. Journal of Monno Medical College December, 2023; 9 (2):41-46

1. Melissa Kaori Silva Litao, MD* 2. Deepak Kamat, MD, PhD† 1. *Department of Pediatrics, De La Salle Health Sciences Institute College of Medicine, Cavite, Philippines 2. †Children’s Hospital of Michigan, Wayne State University School of Medicine, Detroit, MI * Abbreviations: BNP: : brain natriuretic peptide CBC: : complete blood cell COPD: : chronic obstructive pulmonary disease CRP: : C-reactive protein ESR: : erythrocyte sedimentation rate FMF: : familial Mediterranean fever MCV: : mean cell volume RBC: : red blood cell RDW: : red blood cell distribution width The complete blood cell (CBC) count is a widely available and commonly used inexpensive laboratory test used in clinical practice. Information contained therein includes the white blood cell count and differential count, red blood cell (RBC) count, RBC indices, hemoglobin level, hematocrit concentration, and platelet count. The RBC indices include the mean cell volume (MCV), mean cell hemoglobin, mean cell hemoglobin concentration, and RBC distribution width (RDW). (1) Traditionally, the clinical use of RDW has been limited to helping differentiate certain types of anemias (eg, β-thalassemia minor and iron deficiency anemia, which can both have decreased MCV and decreased mean cell hemoglobin but will differ in their RDW). (2) During the past decade, this quick and inexpensive test has been the subject of several studies attempting to evaluate its use as, among other things, an inflammatory marker, (3)(4)(5)(6)(7)(8) a predictor of all-cause mortality, (9)(10) and a prognostic tool for morbidity and mortality associated with sepsis and cardiovascular disease. (4)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) This article focuses on discussing the RDW as a diagnostic and prognostic tool in various medical conditions. ### What Is the RDW? Each RBC is shaped as a biconcave disk with a depressed center, its volume ranging from 80 to 100 femtoliters (fL; 1 fL = 10-15 L) in adults (represented by the MCV in the CBC count). The RBC membrane is extremely flexible and, in certain conditions, is able to change shape …

The aim of this study was to analyze changes in morphological blood parameters in women and men with reduced and normal iron levels. In this study, morphological blood parameters such as the count of red blood cells (RBC), hemoglobin concentration (HGB), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and red cell distribution width (RDW) were studied in four groups of individuals (women with normal iron levels; women with reduced iron levels; men with normal iron levels; men with reduced iron levels). Methodology. This study was carried out in a group of 203 individuals. The group of women participating in the study consisted of 106 individuals (52.2 %), while the group of men consisted of 97 individuals (47.8 %). After analysis of plasma iron levels, all patients were divided into the following groups: 1) women with normal iron levels (37-145 µg/dl, n = 48); 2) women with reduced iron levels (&lt; 37 µg/dl; n = 58); 3) men with normal iron levels (59-158 µg/dl, n = 41); 4) men with reduced iron levels (&lt; 59 µg/dl, n = 56). In each group of individuals, the number of erythrocytes and erythrocyte parameters was determined. Plasma iron was assessed using a substrate method. Hematological measurements were made in fresh venous blood. Hematology parameters were determined on an ABX Pentra DF120 hematology analyzer (Horiba ABX). Scientific novelty. Erythrocyte indices analyzed in the blood of women with reduced iron levels compared to women with normal iron levels showed lower values of hemoglobin, hematocrit, MCV, MCH, and MCHC in the blood. Increased values of RDW and the count of erythrocytes in the blood of women with reduced iron levels compared to the control group of women were noted. Similarly, when comparing the values of erythrocyte indices obtained in the group of men with reduced iron levels to the control group of men with normal iron levels, reduced values of MCH, MCV, and MCHC were demonstrated. However, the values of the count of erythrocytes, RDW, hematocrit, and hemoglobin levels were elevated compared to the control. The reverse trend in erythrocyte indices such as hemoglobin and hematocrit indices between the group of women and the group of men with reduced iron levels was observed. Comparing the obtained values with the reference values, it was noted that the reduced values of the count of erythrocytes, and the level of hemoglobin and hematocrit were obtained in all study groups. An increased MCV value compared to the reference values was noted in the group of women and men with normal iron levels. Men with normal iron levels had elevated MCH values. In all studied groups, an increased level of RDW was noted compared to reference values. Conclusions. Erythrocyte count, hemoglobin concentration, and certain erythrocyte indices (MCV, MCH, MCHC, and RDW) can be additional indices in the diagnosis of iron deficiency state both in men and women. It should be emphasized that even in non-anemic patients with erythrocyte count, hemoglobin concentration, and MCV, MCH, and MCHC above the lower limit of normal, the concentration of iron in the plasma could be lower than the reference values.

Background Red cell distribution width (RDW) is a marker of red blood cell size heterogeneity. Increased RDW is associated with liver diseases, but it has not been studied in patients with hepatitis C virus (HCV). Aim To determine if RDW is a potential prognostic index for liver diseases due to chronic HCV infection. Patients and methods A total of 95 patients with liver diseases due to chronic HCV infection and 20 healthy controls were enrolled in this cross-sectional study. Patients comprised 20 patients with chronic HCV, 52 patients with HCV-related cirrhosis, and 23 patients with HCV-related hepatocellular carcinoma (HCC). HCV antibody, PCR of HCV, HBsAg, complete blood count, liver function tests, and RDW were assessed. Child–Pugh score were calculated in patients with cirrhosis and those with HCC. Results RDW was significantly increased in patients with HCV-related liver cirrhosis and patients with HCV-related HCC compared with patients with chronic HCV infection and healthy controls (P≤0.05). Moreover, RDW was higher in patients with chronic HCV infection than in healthy controls, but it did not achieve statistical significance (P>0.05). In patients with cirrhosis and patients with HCC, RDW was positively correlated with total bilirubin and Child–Pugh score and negatively correlated with hemoglobin concentration, platelet counts, and serum albumin. Conclusion RDW was increased in patients with HCV-related liver cirrhosis and patients with HCV-related HCC and was correlated with higher Child–Pugh score. RDW could be a valuable prognostic index for chronic liver diseases due to HCV infection.

Introduction: This study aimed to investigate associations of red cell distribution width (RDW), RBC mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC) with coronary artery calcium score (CACS) in patients without history of coronary artery disease (CAD). Methods: In this cross-sectional study, 832 consecutive patients without history of CAD who presented with acute chest pain and underwent coronary artery calcium scoring by MDCT were included. Differences in CACS among multiple RBC indices categories which were high RDW (&gt;55 fL) VS low-to-normal RDW, low MCV (&lt;80 fL) VS normal-to-high MCV, low MCH (&lt;27 pg) VS normal-to-high MCH, low MCHC (&lt;31 g/dL) VS normal-to-high MCHC were statistically calculated. Results: The cohort comprised of 60% men (500 of 832) with mean age of 59±14 years. Median Framingham’s 10-year risk for cardiovascular disease was 4% (Interquartile range; IQR 1%-16%). Sixty percent of patients had zero CACS followed by 21.5% with CACS 1-100, 9.9% with CACS 101-400 and 8.1% with CACS&gt;400. Mean ± SD of the RBC indices were 43±14 fL for RDW, 88±6 fL for MCV, 30±2 pg for MCH and 34±2 g/dL for MCHC. Compared to patients with normal-to-high MCV, those with low MCV (n=73) had significant lower CACS (0; IQR 0-5 VS 0; IQR 0-49; p 0.047). There was no statistically significant difference in CACS between RDW groups (p 0.45), MCH groups (p 0.19), MCHC groups (p 0.26) as shown in the figure. Multivariate analysis showed no statistically significant association of all the RBC indices with either CACS&gt;0 (high RDW - p 0.83, low MCV - p 0.17, low MCH - p 0.26, low MCHC − p 0.06) or CACS&gt;100 (high RDW - p 0.69, low MCV - p 0.18, low MCH - p 0.93, low MCHC − p 0.77). Conclusion: Our study did not show significant association of RDW, MCV, MCH and MCHC with either presence or severity of coronary calcification in patients without history of CAD

Background Complete blood count (CBC), red cell distribution width (RDW), mean platelet volume (MPV), mean corpuscular volume (MCV), mean cell hemoglobin (MCH), mean cell hemoglobin concentration (MCHC), or platelet (PLT) count are referred as predictors of adverse clinical outcomes in patients. The aim of the research was to identify potential factors of acute mortality in Polish emergency department (ED) patients by using selected hematological biomarkers and routine statistical tools. Methods The study presents statistical results on patients who were recently discharged from inpatient facilities within one month prior to the index ED visit. In total, the analysis comprised 14,881 patients with the first RDW, MPV, MCV, MCH, MCHC, or PLT biomarkers' measurements recorded in the emergency department within the years 2016–2019 with a subsequent one month of all-cause mortality observation. The patients were classified with the codes of the International Statistical Classification of Diseases and Related Health Problems after 10th Revision (ICD10). Results Based on the analysis of RDW, MPV, MCV, MCH, MCHC, and PLT on acute deaths in patients, we establish strong linear and quadratic relationships between the risk factors under study and the clinical response (P < 0.05), however, with different mortality courses and threats. In our statistical analysis, (1) gradient linear relationships were found for RDW and MPV along an entire range of the analyzed biomarkers' measurements, (2) following the quadratic modeling, an increasing risk of death above 95 fL was determined for MCV, and (3) no relation to excess death in ED patients was calculated for MCH, MCHC, and PLT. Conclusion The study shows that there are likely relationships between blood counts and expected patient mortality at some time interval from measurements. Up to 1 month of observation since the first measurement of an hematological biomarker, RDW and MPV stand for a strong relationship with acute mortality of patients, whereas MCV, MCH, MCHC, and PLT give the U-shaped association, RDW and MPV can be established as the stronger predictors of early deaths of patients, MCV only in the highest levels (>95 fL), whereas MCH, MCHC, and PLT have no impact on the excess acute mortality in ED patients.

Studies published during the last decade seem to indicate red blood cell parameters as inexpensive, rapidly available, and simple tools for the assessment of prognosis in patients with chronic heart failure (CHF). To evaluate the prognostic value of red cell parameters determined in a routine blood count in patients with CHF. The study group included 165 patients with the New York Heart Association (NYHA) class II-IV CHF hospitalised in the 2nd Department of Cardiology in Bydgoszcz. On the first day of hospitalisation, all patients in the study group underwent a complete blood count with an assessment of haemoglobin (Hb) level, mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC) and red blood cell distribution width (RDW). Follow-up was carried over 24 months by phone calls every 3 months. MCV, MCH and MCHC were not shown to be significant predictors of mortality in CHF patients at 1 and 2 years of follow-up. In univariate analysis at 1-year follow-up, the following variables were significantly associated with the occurrence of the study endpoint: Hb level (p = 0.022; HR = 0.80), RDW (p = 0.004; HR = 1.257), and N-terminal pro-B-type na-triuretic peptide (NT-proBNP) level (p = 0.0001; HR = 1). At 2 years of follow-up, the following variables were significantly associated with the occurrence of the study endpoint: left ventricular ejection fraction (p = 0.018; HR = 0.956), NYHA class (p = 0.007; HR = 0.378), RDW (p = 0.044; HR = 1.175), and NT-proBNP level (p < 0.001; HR = 1). Multivariate analysis for 1-year follow-up showed that RDW and NT-proBNP level were independent significant predictors of mortality, while NT-proBNP level (p = 0.006; HR = 1) and NYHA class (p = 0.024; HR = 0.439) were significant predictors of mortality at 2 years of follow-up. Based on receiver operating characteristic curve analysis, the cut-off RDW was 15.00% (AUC = 0.63; 0.523-0.737), at 12 months of follow-up and 14.00% (AUC = 0.6; 0.504-0.697), at 24 months of follow-up. The cut-off for Hb level was 13.9 g/dL (AUC = 0.662; 0.553-0.77), at 12 months of follow-up and 12.2 g/dL (AUC = 0.581; 0.482-0.681), at 24 months of follow-up. Baseline RDW and Hb level in patients hospitalised with the diagnosis of NYHA class II-IV CHF seem to be important predictors of mortality in this population. Among the red blood cell parameters, only RDW was shown to be an independent prognostic factor at 1 year of follow-up but it appeared to lose its significance during longer-term follow-up.

Significant influence of prelingual deafness but less impact of elderly age at implantation on long-term psychoacoustic CI programming parameters

In a subset of psoriasis (PsO) and psoriatic arthritis (PsA) patients, the skin and/or joint lesions appear to generate biologically significant systemic inflammation. Red cell distribution width (RDW) and mean platelet volume (MPV) are readily available clinical tests that reflect responses of the bone marrow and/or plasma thrombogenicity (e.g., inflammation), and can be markers for major adverse cardiac events (MACE). We aimed to evaluate if RDW and MPV may be employed as inexpensive, routinely obtained biomarkers in predicting myocardial infarction (MI), atrial fibrillation (AF), and chronic heart failure (CHF) in psoriatic and psoriatic arthritis patients. The study was divided into two parts: (a) case control study employing big data (Explorys) to assess MPV and RDW in psoriasis, psoriatic arthritis and control cohorts; (b) a clinical observational study to validate the predictive value of RDW and to evaluate RDW response to anti-psoriatic therapies. We used Explorys, an aggregate electronic database, to identify psoriatic patients with available MPV and RDW data and compared them to gender and age matched controls. The incidence of myocardial infarction (MI), atrial fibrillation (AF), and chronic heart failure (CHF) was highest among patients with both elevated RDW and MPV, followed by patients with high RDW and normal MPV. RDW elevation among PsA patients was associated with an increased risk of MI, AF, and CHF. In a local clinical cohort, high RDWs were concentrated in a subset of patients who also had elevated circulating resistin levels. Among a small subset of participants who were treated with various systemic and biologic therapies, and observed over a year, and in whom RDW was elevated at baseline, a sustained response to therapy was associated with a decrease in RDW. RDW and MPV, tests commonly contained within routine complete blood count (CBC), may be a cost-effective manner to identify PsO and PsA patients at increased risk of MACE.

The stability of quantitative blood count parameters using the ADVIA 2120i hematology analyzer