Hematological parameters and all-cause mortality: a prospective study of older people

Nonlinear relationship of red blood cell indices (MCH, MCHC, and MCV) with all-cause and cardiovascular mortality: A cohort study in U.S. adults

BACKGROUND

In recent years, increasing attention has been focused on the impact of red blood cell indices (RCIs) on disease prognosis. We aimed to investigate the association of mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and mean corpuscular volume (MCV) with mortality.

METHODS

The study used cohort data from U.S. adults who participated in the 1999-2008 National Health and Nutrition Examination Survey. All-cause mortality was the primary outcome during follow-up, with secondary cardiovascular mortality outcomes. COX regression was applied to analyze the connection between RCIs and mortality. We adopted three models to minimize potential bias. Smooth-fit curves and threshold effect analyses were utilized to observe the dose-response relationship between RCIs and all-cause and cardiovascular mortality. In addition, we performed sensitivity analyses.

RESULTS

21,203 individuals were enrolled in our research. During an average 166.2 ± 54.4 months follow-up, 24.4% of the population died. Curve fitting indicated a U-shaped relationship between MCV and MCH with all-cause mortality, and the relationship of MCHC to all-cause mortality is L-shaped. We identified inflection points in the relationship between MCV, MCH, and MCHC and all-cause mortality as 88.56732 fl, 30.22054 pg, 34.34624 g/dl (MCV <88.56732 fl, adjusted HR 0.99, 95 CI% 0.97-1.00; MCV >88.56732 fl, adjusted HR 1.05, 95 CI% 1.04-1.06. MCH <30.22054 pg, adjusted HR 0.95, 95 CI% 0.92-0.98; MCH >30.22054 pg, adjusted HR 1.08, 95 CI% 1.04-1.12. MCHC <34.34624 g/dl, adjusted HR 0.88, 95 CI% 0.83-0.93). Besides, the MCV curve was U-shaped in cardiovascular mortality (MCV <88.56732 fl, adjusted HR 0.97, 95 CI% 0.94-1.00; MCV >88.56732 fl, adjusted HR 1.04, 95 CI% 1.01-1.06).

CONCLUSION

This cohort study demonstrated that RCIs (MCH, MCHC, and MCV) were correlated with mortality in the general population. Three RCIs were nonlinearly correlated with all-cause mortality. In addition, there were nonlinear relationships between MCH and MCV and cardiovascular mortality.

Association of metallothionein 2A rs10636 with low mean corpuscular volume (MCV), low mean corpuscular haemoglobin (MCH) in healthy Taiwanese

Human metallothionein-2A (MT2A) protein participates in metal homeostasis, detoxification, oxidative stress reduction, and immune defense. It decreases heavy metal ions and reactive oxygen species (ROS) during injury of cells and tissues. The single nucleotide polymorphisms at the MT2A gene have been associated in various human diseases including cancer. The current study aimed to elucidate associations between MT2A genotypes with the clinical, biochemical, and molecular characteristics that potentially related to lowered MT2A ex-pression. One hundred and forty-one healthy Taiwanese subjects were enrolled from Changhua Show-Chwan Memorial Hospital. Clinical, biochemical and molecular characteristics including the frequent minor allele SNPs, rs28366003 and rs10636, within the MT2A gene were determined. The genotype distribution of MT2A rs10636 fits the Hardy-Weinberg equilibrium. The significant associations with gradually decline of mean corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH) were identified with MT2A rs10636 and rs28366003 using analysis of variance (ANOVA) with Tukey's analysis as a post hoc test. We further validated the correlations between the expressions of genes in erythropoiesis, cholesterol synthesis, platelet synthesis, insulin with MT2A using the web-based Gene Expression Profiling Interactive Analysis (GEPIA) databases. The results revealed that hypoxia-inducible factor 1α (HIF-1α), erythropoietin (EPO), lipoprotein lipase (LPL), and lecithin-cholesterol acyltransferase (LCAT) mRNA ex-pression are significantly correlated with MT2A mRNA expression. In conclusion, these results suggested that genetic variations of MT2A rs10636 and rs28366003 might be an important risk factor for erythropoiesis in the Taiwanese general population.

Socioeconomic, Eating- and Health-Related Limitations of Food Consumption among Polish Women 60+ Years: The 'ABC of Healthy Eating' Project

The study aimed at identifying the socioeconomic, eating- and health-related limitations and their associations with food consumption among Polish women 60+ years old. Data on the frequency of consumption of fruit, vegetables, dairy, meat, poultry, fish, legumes, eggs, water and beverages industrially unsweetened were collected with the Mini Nutritional Assessment (MNA^®) and were expressed in the number of servings consumed per day or week. Three indexes: the Socioeconomic Status Index (SESI), the Eating-related Limitations Score (E-LS) and the Health-related Limitations Score (H-LS) were developed and applied. SESI was created on the base of two variables: place of residence and the self-reported economic situation of household. E-LS included: difficulties with self-feeding, decrease in food intake due to digestive problems, chewing or swallowing difficulties, loss of appetite, decrease in the feeling the taste of food, and feeling satiety, whereas H-LS included: physical function, comorbidity, cognitive function, psychological stress and selected anthropometric measurements. A logistic regression analysis was performed to assess the socioeconomic, eating-, and health-related limitations of food consumption. Lower socioeconomic status (vs. higher) was associated with a lower chance of consuming fruit/vegetables ≥ 2 servings/day (OR = 0.25) or consuming dairy ≥ 1 serving/day (OR = 0.32). The existence of multiple E-LS limitations (vs. few) was associated with a lower chance of consuming fruit/vegetables ≥ 2 servings/day (OR = 0.72), consuming dairy ≥ 1 serving/day (OR = 0.55) or consuming water and beverages industrially unsweetened ≥6 cups/day (OR = 0.56). The existence of multiple H-LS limitations was associated with a lower chance of consuming fruit/vegetables ≥ 2 servings/day (OR = 0.79 per 1 H-LS point increase) or consuming dairy ≥ 1 serving/day (OR = 0.80 per 1 H-LS point increase). Limitations found in the studied women were related to insufficient consumption of selected groups of food, which can lead to malnutrition and dehydration. There is a need for food policy actions, including practical educational activities, to eliminate barriers in food consumption, and in turn to improve the nutritional and health status of older women.

Hemoglobin concentration, hematocrit and red blood cell count predict major adverse cardiovascular events in patients with familial hypercholesterolemia

BACKGROUND AND AIMS

Familial hypercholesterolemia (FH) is a genetic disease associated with an important risk of premature and recurrent atherosclerotic cardiovascular disease (ASCVD). Red blood cell (RBC) parameters such as cell count and hematocrit (HCT) have previously been associated with ASCVD risk in the general population. However, little is known concerning their effect in FH. The aim of the present study is to investigate the effect of the different RBC parameters on the incidence of major adverse cardiovascular events (MACE) in FH patients.

METHODS

In this prospective cohort study, genetically-confirmed FH patients aged between 18 and 65 years and without history of a prior ASCVD event were included. MACE included myocardial infarction, stroke, coronary revascularization, unstable angina or cardiovascular death.

RESULTS

A total of 482 subjects (6217 person-years of follow-up) were included in the analysis. Hemoglobin (HB), RBC count, and HCT were significant predictors of MACE risk (HR 1.04 (95% CI 1.01-1.06) p = 0.001, HR 2.69 (95% CI 1.49-4.86) p = 0.001, and HR 1.16 (95% CI 1.08-1.26) p < 0.0001, respectively) and these associations remained significant when adjusted for traditional cardiovascular risk factors. In addition, the frequency of recurrent MACE was 4-fold and 7-fold higher in the group above vs below the median for HB (p = 0.002) and RBC count (p = 0.001), respectively.

CONCLUSIONS

HB, RBC count and HCT were significant predictors of incident and recurring MACE in FH patients. These parameters could therefore be used to further refine the ASCVD risk prediction in this vulnerable population.

Biomarkers of Senescence during Aging as Possible Warnings to Use Preventive Measures

Human life expectancy is increasing significantly over time thanks to the improved possibility for people to take care of themselves and the higher availability of food, drugs, hygiene, services, and assistance. The increase in the average age of the population worldwide is, however, becoming a real concern, since aging is associated with the rapid increase in chronic inflammatory pathologies and degenerative diseases, very frequently dependent on senescent phenomena that occur alongside with senescence. Therefore, the search for reliable biomarkers that can diagnose the possible onset or predict the risk of developing a disease associated with aging is a crucial target of current medicine. In this review, we construct a synopsis of the main addressable biomarkers to study the development of aging and the associated ailments.

Prevalence of Anemia and Its Association with Frailty, Physical Function and Cognition in Community-Dwelling Older Adults: Findings from the HOPE Study

OBJECTIVES

The prevalence of anemia and its impact on frailty and physical function amongst the multiethnic older populations in the Southeast Asian (SEA) countries are often not well studied. Singapore, a nation comprised of multiethnic communities, is one of the most rapidly aging population globally. We aim to evaluate the prevalence of anemia and its impact on frailty, and physical function in Healthy Older People Everyday (HOPE)- an epidemiologic population-based study on community-dwelling older adults in Singapore.

DESIGN

Cross-sectional study.

SETTING

Community.

PARTICIPANTS

480 adults ≥ 65 years old.

MEASUREMENTS

Data were collected from interviewers-administered questionnaires on socio-demographics, FRAIL scale, Mini-Mental State Examination, EQ-5D, Barthel Index, and Lawton index. Hemoglobin concentration and physical assessments, including anthropometry, grip strength, timed up-and-go (TUG) were measured.

RESULTS

The overall prevalence of anemia was 15.2% (73 out of 480). The Indian ethnic group had the highest prevalence of anemia (32%, OR=3.02; 95%CI= 1.23-7.41) with the lowest hemoglobin concentration compared to the overall population (13.0±1.3g/L and 13.5±1.4g/L, p=0.02). Hemoglobin levels and anemia were significantly associated with frailty (OR=2.28; 95% CI=1.02-5.10), low grip strength (OR=1.79; 95% CI=1.01-3.03), ≥ one IADL impairment (OR=2.35; 95% CI=1.39-3.97). Each 1 g/dL increase in hemoglobin was associated with a 6% decrease in frailty odds after adjusting for potential covariates (OR = 0.94, 95% CI: 0.90-0.99). There was a significant difference in the mean TUG between the non-anemic (11.0±3.4 seconds) and anemic (12.3±6.0 seconds, p=0.01) counterparts, but no difference in the number of falls.

CONCLUSION

In our multiethnic Asian population, anemia was adversely associated with frailty, decreased muscle strength, and IADL impairment. Health policies on anemia screening should be employed to avoid or potentially delay or reverse these adverse outcomes associated with anemia. Recognition, evaluation, and treatment of anemia amongst this vulnerable population is warranted.

Three-dimensional facial-image analysis to predict heterogeneity of the human ageing rate and the impact of lifestyle

Not all individuals age at the same rate. Methods such as the 'methylation clock' are invasive, rely on expensive assays of tissue samples and infer the ageing rate by training on chronological age, which is used as a reference for prediction errors. Here, we develop models based on convoluted neural networks through training on non-invasive three-dimensional (3D) facial images of approximately 5,000 Han Chinese individuals that achieve an average difference between chronological or perceived age and predicted age of ±2.8 and 2.9 yr, respectively. We further profile blood transcriptomes from 280 individuals and infer the molecular regulators mediating the impact of lifestyle on the facial-ageing rate through a causal-inference model. These relationships have been deposited and visualized in the Human Blood Gene Expression-3D Facial Image (HuB-Fi) database. Overall, we find that humans age at different rates both in the blood and in the face, but do so coherently and with heterogeneity peaking at middle age. Our study provides an example of how artificial intelligence can be leveraged to determine the perceived age of humans as a marker of biological age, while no longer relying on prediction errors of chronological age, and to estimate the heterogeneity of ageing rates within a population.

Selected Hematological Biomarkers to Predict Acute Mortality in Emergency Department Patients. Recent Polish Hospital Statistics

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 10^th 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.

Reference range of clinical blood tests in physically independent patients of advanced age with groin hernia in a Japanese hospital

AIM

The present study was carried out to determine the reference ranges of 43 frequently used blood tests in daily practice for physically independent patients of advanced age.

METHODS

We identified all patients aged ≥20 years who underwent groin hernia repair at Itoigawa General Hospital in Niigata, Japan. The patients' characteristics, preoperative data and prescribed medications were obtained by reviewing the electronic medical records.

RESULTS

Of 284 patients, 266 with independence in activities of daily life were included in the present study: 72 were assigned to the younger adult group (age 20-64 years), 86 were assigned to the older adult group (age 65-74 years) and 108 were assigned to the advanced age group (age ≥75 years). Patients in the advanced age group had a lower body mass index, less alcohol consumption, more hypertension, lower respiratory function and higher frequency of multidrug therapy. The multiple regression analysis showed significant differences in albumin, gamma-glutamyl transpeptidase, cholinesterase, estimated glomerular filtration rate, uric acid, triglyceride, calcium, phosphate, magnesium and peripheral blood cell counts between the advanced age group and the other two age groups.

CONCLUSIONS

We identified age-dependent changes in several blood tests among physically independent adults. These results will help to guide accurate interpretation of laboratory results and properly manage patients in geriatric medicine. Geriatr Gerontol Int 2019; 19: 780-785.

Hemoglobin Changes After Long-Term Intermittent Work at High Altitude

Chronic high altitude hypoxia leads to an increase in red cell numbers and hemoglobin concentration. However, the effects of long-term intermittent hypoxia on hemoglobin concentration have not fully been studied. The aim of this study was to evaluate hemoglobin levels in workers commuting between an elevation of 3,800 m (2-week working shift) and lowland below 1,700 m (2 weeks of holiday). A total of 266 healthy males, aged from 20 to 69 years (mean age 45.9 ± 0.6 years), were included into this study. The duration of intermittent high altitude exposure ranged from 0 to 21 years. Any cardiac or pulmonary disorder was excluded during annual check-ups including clinical examination, clinical lab work (blood cell count, urine analysis, and biochemistry), ECG, echocardiography, and pulmonary function tests. The mean hemoglobin level in workers was 16.2 ± 0.11 g/dL. Univariate linear regression revealed an association of the hemoglobin levels with the years of exposure. Hemoglobin levels increased 0.068 g/dL [95% CI: 0.037 to 0.099, p < 0.001] for every year of intermittent high altitude exposure. Further, after adjusting for other confounding variables (age, living at low or moderate altitude, body mass index, and occupation) using multivariable regression analysis, the magnitude of hemoglobin level changes decreased, but remained statistically significant: 0.046 g/dL [95% CI: 0.005 to 0.086, p < 0.05]. Besides that, a weak linear relationship between hemoglobin levels and body mass index was revealed, which was independent of the years of exposure to high altitude (0.065 g/dL [95% CI: 0.006 to 0.124, p < 0.05]). We concluded that hemoglobin levels have a linear relationship with the exposure years spent in intermittent hypoxia and body mass index.