Literature DB >> 32542085

Unexplained anemia in the elderly - a real life analysis of 981 patients.

Sylwia S Michalak1, Joanna Rupa-Matysek2, Iwona Hus3, Lidia Gil2.   

Abstract

INTRODUCTION: We aimed to analyze the prevalence of unexplained anemia (UA) and assess its characteristics, potential causes and impact on survival in an elderly population.
MATERIAL AND METHODS: Medical files of 981 patients aged ≥ 60 years consulted in one primary medical clinic in Poland in 2013-2014 were retrospectively analyzed. Anemia, defined according to WHO criteria, diagnosed during either hospitalization or outpatient treatment, from the age of 60, was included. Unexplained anemia was diagnosed if, based on available clinical data and laboratory tests and other assessments in medical records, none of the well-known types of anemia were identified.
RESULTS: Of 981 patients with anemia, UA was found in 48 (28.4%) patients (4.9% of those studied) and incidence increased with age (≥ 80 years, 12.3%). In 81.3% no full hematological diagnostics were performed. Patients with UA, as with those with defined anemia, when compared to the group without anemia were older, had more co-morbidities, were more frequently hospitalized, more frequently had dementia syndrome and obtained lower Barthel scores (p < 0.0001). In the groups of patients with UA and defined anemia, there were more deaths than in those without anemia (10% vs. 13% vs. 2%, p < 0.0001) with significant differences in survival rates observed during 3-year follow-up.
CONCLUSIONS: The increasing incidence with age of UA in the elderly population, insufficient diagnosis and the higher mortality of patients with UA in comparison to the group without anemia indicate the need to develop recommendations for its management by primary care physicians.
Copyright © 2019 Termedia & Banach.

Entities:  

Keywords:  elderly; survival; unexplained anemia

Year:  2019        PMID: 32542085      PMCID: PMC7286331          DOI: 10.5114/aoms.2019.82723

Source DB:  PubMed          Journal:  Arch Med Sci        ISSN: 1734-1922            Impact factor:   3.318


Introduction

Anemia is a significant problem in the elderly population with a proven negative impact on the course of co-morbidities and survival [1-3]. The estimated prevalence of anemia in the population over 60 years old ranges from 2.9% to 61% in men and from 3.3% to 41% in women [4]. In 16–40% of cases, the etiology of anemia remains unexplained (UA), despite thorough analysis of the medical history, comorbidities, physical examination and appropriate laboratory tests, including bone marrow evaluation [5-10]. Currently, based on extended molecular studies it is suggested that this group of patients be designated as having cytopenia of unknown significance with isolated anemia (ICUS-A) [11, 12]. However, the scope and qualification of elderly patients for specific diagnostic procedures are still being discussed in the literature [11, 13, 14]. Additionally, there are conflicting reports on the impact of UA on the survival of patients [8, 13, 14]. There are no studies assessing the scope of diagnosis and characteristics of patients with UA as a real-life analysis. Therefore, the aim of this study was to assess the prevalence of unexplained anemia in the Polish population aged ≥ 60 years, its characteristics, an assessment of potential causes (along with the scope of the performed diagnostics) and the impact of UA on patients’ survival.

Material and methods

We retrospectively analyzed the medical files of 981 patients aged ≥ 60 years consulted in one primary medical care clinic in Poland in 2013–2014 for the occurrence of anemia, comorbidities and hospitalizations. All available laboratory tests of differential diagnosis of anemia (including bone marrow examination, cytogenetic/molecular tests) and medical records concerning comorbidities, hospitalizations since the age 60 and deaths were evaluated [15]. Anemia was diagnosed according to the criteria of the World Health Organization for individuals aged ≥ 65 years (Hb < 12 g/dl in women, Hb < 13 g/dl in men) [16]. Four degrees of severity were determined: mild anemia (10–12 g/dl in women, 10–13 g/dl in men), moderate (8–9.9 g/dl), severe (6.5–7.9 g/dl) and very severe anemia (< 6.5 g/dl). Macrocytosis was diagnosed as mean cell volume (MCV – the mean volume of a red blood cell) > 100 fl, normocytosis as MCV 80–100 fl and microcytosis as MCV < 80 fl. Leukopenia was defined as white blood cell (WBC) count < 4 × 109/l, thrombocytopenia as platelet (PLT) count < 140 × 109/l. Patients with anemia were divided into two groups: with defined anemia (DA) and with UA. The group of defined anemia included: deficiency anemia (iron, vitamin B12, folic acid deficiency), bleeding anemia, anemia of chronic disease, hemolytic anemia, aplastic anemia, chronic kidney disease anemia (CKD), chemo- and/or radiotherapy induced anemia, anemia in the course of chronic liver disease, alcoholic disease and thyroid disease. We used the definitions for the particular types of anemia described previously [15]. Anemia was defined as UA if, based on the available clinical data, laboratory tests and other assessments/records in the medical files, none of the abovementioned types of anemia were identified. Diagnosis of anemia was determined as incomplete when the obtained laboratory tests were unable to exclude all defined types of anemia [15]. In the group of patients with UA, the duration of anemia from its diagnosis to the end of observation was evaluated. Furthermore, the presence of anemia before the age of 60 in this group was also studied. The frequency of the Barthel test performance and the scores of the Barthel scale were examined as part of the geriatric evaluation [17]. The Bioethical Committee of Poznan University of Medical Sciences approved the study in accordance with the Declaration of Helsinki.

Statistical analysis

The descriptive statistics of the study group, such as gender and deaths, were expressed as percentages and numbers. The Shapiro-Wilk test was performed to assess normality, whereas the homogeneity of variance was evaluated by Levene’s test. Variables that had a normal distribution and low validity were represented by the mean and standard deviation. Otherwise, the median and standard error were used. Comparative analysis between the analyzed groups of anemia was performed for gender, deaths, comorbidities and hospitalization using the Pearson χ2 test with analyses of structural indices between the analyzed groups, whereas statistically significant differences of age, laboratory parameters and Barthel scale between the analyzed groups of anemia were examined using Kruskal-Wallis one-way analysis of variance by ranks together with the post hoc Z test for multiple comparisons. To evaluate differences in the laboratory data of the analyzed groups with anemia or without anemia, effect size was calculated as the difference between means divided by the pooled standard deviation. Using Cohen’s D criteria, an effect size > 0.20 and < 0.50 was considered small, ≥ 0.50 and < 0.80 medium, and ≥ 0.80 large. The probabilities of survival were estimated via the Kaplan-Meier method, and comparisons were performed via the χ2 test. A p-value below 0.05 was regarded as statistically significant. The statistical analyses were performed with Statistica 13 (StatSoft, Inc. 2017 software, Tulsa, Oklahoma, USA).

Results

In the analyzed population of 981 individuals at the age of ≥ 60 years or older, anemia was diagnosed in 169 (17.2%) patients. UA was found in 48 patients (27 women and 21 men), which accounted for 4.9% of the entire study population and 28.4% of those with anemia. Analysis according to the age groups demonstrated that UA occurred in 2.6% of people aged 60–69, in 5.1% aged 70–79 and in 12.3% in the ≥ 80 years age group. The frequency was higher in the group aged 70–79 vs. 60–69 years (ns) and significantly higher in the group aged ≥ 80 vs. 60–69 years (p < 0.0001) and the group aged ≥ 80 vs. 70–79 years (p = 0.007). Patients with UA were older than those without anemia (75.9 ±9.2 vs. 69.8 ±8.0 years, p < 0.0001). In the group of patients with UA, as well as in the group with DA, there were significantly more deaths than in the group without anemia: 10% vs. 13% vs. 2% (p < 0.0001), respectively (Table I).
Table I

Characteristics of patients with UA, DA or without anemia

CharacteristicsWhole population(n = 981)Unexplained anemiae(n = 48)Defined anemiac,d(n = 121)No anemia groupa,b(n = 812)P-value
Female, n (%)594 (61)27 (56)52 (63)504 (62)0.09
Age, mean ± SD [years]70.8 ±8.4575.9 ±9.274.7 ±9.369.8 ±8.0< 0.0001
Hb, mean ± SD [g/dl]13.47 ±1.7911.2 ±1.210.2 ±1.614.09 ±1.06< 0.0001
WBC, mean ± SD [× 109/l]6.94 ±2.777.08 ±3.297.93 ±5.746.78 ±1.900.63
PLT, mean ± SD [× 109/l]234.6 ±71.6231.7 ±82.3269.9 ±117.9229.5 ±59.40.01
eGFR, , mean ± SD [ml/min/1.73 m2]81.4 ±22.974.4 ±26.570.7 ±28.183.4 ±21.3< 0.0001
CRP, mean ± SD [mg/l]24.3 ±51.825.7 ±80.642.9 ±60.06.2 ±14.6< 0.0001
Number of comorbidities median (range)2 (0–12)4 (1–7)4 (0–9)2 (0–8)< 0.0001
Number of hospitalizations median (range)0 (0–12)1 (0–8)2 (0–12)0 (0–11)< 0.0001
Barthel scale, mean ± SD85 ±12.380 ±14.980 ±16.285 ±8.4< 0.0001
Death, n (%)40 (4)5 (10)16 (13)19 (2)< 0.0001

A significantly greater value in the NA group than the UA group and the NA group than the DA group for the following parameters: Hb, eGFR and Barthel scale scores. bA significantly lower value in the NA group than the UA group and the NA group than the DA group for the following parameters: number of hospitalizations, number of comorbidities in patients. cA significantly greater value in the DA group than the NA group for the following parameters: PLT, CRP, age and deaths. dA significantly greater value in the DA group than the UA group for the following parameters: CRP and PLT. eA significantly greater value in the UA group than the NA group for the following parameters: age and deaths. CRP – C reactive protein, DA – defined anemia, eGFR – estimated glomerular filtration rate, Hb – hemoglobin, NA – no anemia, PLT – platelet count, UA – unexplained anemia, WBC – white blood cell count. A p-value less than 0.05 was considered statistically significant.

Characteristics of patients with UA, DA or without anemia A significantly greater value in the NA group than the UA group and the NA group than the DA group for the following parameters: Hb, eGFR and Barthel scale scores. bA significantly lower value in the NA group than the UA group and the NA group than the DA group for the following parameters: number of hospitalizations, number of comorbidities in patients. cA significantly greater value in the DA group than the NA group for the following parameters: PLT, CRP, age and deaths. dA significantly greater value in the DA group than the UA group for the following parameters: CRP and PLT. eA significantly greater value in the UA group than the NA group for the following parameters: age and deaths. CRP – C reactive protein, DA – defined anemia, eGFR – estimated glomerular filtration rate, Hb – hemoglobin, NA – no anemia, PLT – platelet count, UA – unexplained anemia, WBC – white blood cell count. A p-value less than 0.05 was considered statistically significant.

Characteristics of patients with anemia

In most of the patients with UA the severity of anemia was mild (Hb ≥ 10 g/dl), as shown in Figure 1. There were no cases of very severe anemia in the UA group.
Figure 1

Severity of anemia in patients with unexplained anemia

Severity of anemia in patients with unexplained anemia The mean Hb concentration in women with UA was 10.7 ±1.2 g/dl, while in men it was 11.9 ±0.8 g/dl. Mild anemia was found in 100% of men and 85% of women (p = 0.06). Analysis of MCV in the UA group showed that 70.8% of patients had normocytosis and 4.2% had macrocytosis. In 11 (22.9%) patients with UA, there were no data on MCV. In 39 (81.3%) patients in the UA group, detailed hematologic diagnostics were not performed, including bone marrow or cytogenetic/molecular tests. The lack of diagnostics was significantly more frequent in the group aged 60–69 vs. 70–79 years and 60–69 vs. ≥ 80 years (p = 0.03 and p = 0.01, respectively). In 8 (16.7%) patients surgery was performed within 3 months before the diagnosis of anemia. It was performed more often in patients aged 60–69 vs. ≥ 80 years (p = 0.01). In 9 (18.8%) patients, anemia was accompanied by other hematological abnormalities, including 7 (14.6%) patients with a WBC count below 4 × 109/l or a PLT count below 140 × 109/l, while in 2 (4.2%) macrocytosis (MCV > 100 fl) was found. No patients with UA had pancytopenia with concurrent macrocytosis, whereas 2 patients with UA had a reduced PLT count below 140 × 109/l and WBC below 4 × 109/l. Macrocytosis was significantly more common in the patients aged 60–69 years as compared to the groups aged 70–79 years (p = 0.004) and 60–69 vs. ≥ 80 years (p = 0.003). The mean age of diagnosis of UA was 73.9 ±10.1 years. Only in 3 patients did UA occur before the age of 60. The average duration of UA from diagnosis to the end of follow-up was 36 ±48 months, median: 19 months (range: 2–271 months). There were statistically significant differences between the analyzed groups for the following parameters: hemoglobin, platelet count, estimating glomerular filtration rate (eGFR), C-reactive protein (CRP), age, number of comorbidities, number of hospitalizations, Barthel scale score and deaths (Table I). Patients with UA had lower eGFR when compared to the group without anemia, while higher CRP was found in the group with DA as compared to the patients with UA. There were significant differences in the clinical characteristics between patients without anemia and patients with UA or DA. Patients with UA when compared to the group without anemia had more comorbidities, were more frequently hospitalized and presented lower scores on the Barthel scale (Table I). The Barthel scale was performed on 137 (81%) patients with anemia, and in 265 (32.6%) cases without anemia. When comparing the NA with the DA group, a large effect size was obtained in the case of hemoglobin, platelet count, CRP, the number of hospitalizations and the number of comorbidities (d: 0.84–2.87), while a medium effect size for GFR and the Barthel scale scores was obtained (d: 0.37–0.41). The difference between the UA group and the group without anemia demonstrated a large effect size for hemoglobin concentration and the number of comorbidities (d: 0.96–2.55) and a medium effect size for GFR, the number of hospitalizations and the Barthel scale scores (d: 0.39–0.71). In the case of CRP a medium effect size was found between the UA group and DA group (d = 0.24). In patients with UA, the incidence of cardiovascular diseases (hypertension, ischemic heart disease, heart failure, atrial fibrillation, venous thromboembolism), CKD, chronic liver diseases, dementia syndrome and thyroid gland diseases was significantly higher than in the patients without anemia (Table II). Aspirin, clopidogrel and anticoagulants (DOACs/VKA) were also more frequently administered in the UA group. Coronary angiography and percutaneous transluminal coronary angioplasty (PTCA) were performed more often in patients with UA. There were a few differences between the UA and DA groups; these were significantly more frequent ischemic heart disease and the use of clopidogrel in the UA group.
Table II

Analysis of co-morbidities and the use of selected groups of drugs and performed procedures in patients with unexplained anemia, defined anemia and no anemia

CharacteristicsWhole population(n = 981)Unexplained anemiaa,b(n = 48)Defined anemiad(n = 121)No anemiagroupc(n = 812)P-value
Comorbidities, % (n):
Hypertension78.7 (772)95.8 (46)82.6 (100)77.1 (626)0.005
Coronary heart disease32.5 (319)62.5 (30)38.0 (46)29.9 (243)< 0.0001
Diabetes25 (245)35.4 (17)29.7 (36)23.6 (192)0.08
Chronic kidney disease12.1 (102)29.6 (13)34.6 (36)7.6 (53)< 0.0001
Heart failure10.8 (106)31.2 (15)23.1 (28)7.8 (63)< 0.0001
Atrial fibrillation10.4 (102)20.8 (10)20.7 (25)8.2 (67)< 0.0001
Rheumatic diseases1.1 (11)2.1 (1)5.0 (6)0.5 (4)< 0.0001
Chronic pulmonary disease12.0 (118)6.2 (3)25.6 (31)10.3 (84)< 0.0001
Asthma5.2 (51)0 (0)6.6 (8)5.3 (43)0.2
COPD4.0 (39)2.1 (1)9.1 (11)3.3 (27)0.008
Chronic liver diseases3.4 (33)6.2 (3)13.2 (16)1.7 (14)< 0.0001
Thyroid diseases18.6 (182)29.2 (14)23.1 (28)17.2 (140)0.045
Venous thromboembolism3.5 (34)8.3 (4)7.4 (9)2.6 (21)0.004
Cancer10.3 (101)2.1 (1)35.5 (43)7.0 (57)< 0.0001
Dementia syndrome3.4 (33)14.6 (7)6.6 (8)2.2 (18)< 0.0001
Drugs, % (n):
Aspirin26.4 (259)58.3 (28)44.6 (54)21.8 (177)< 0.0001
Anticoagulants (DOACs/VKA)9.8 (96)22.9 (11)21.5 (26)7.3 (59)< 0.0001
Clopidogrel6.9 (68)25.0 (12)12.4 (15)5.0 (41)< 0.0001
Procedures*, % (n):
Coronary angiography10.0 (98)27.1 (13)19.0 (23)7.6 (62)< 0.0001
PTCA6.1 (60)14.6 (7)11.6 (14)4.8 (39)0.0006

A significantly greater value in the UA group than the NA group for the following parameters: hypertension and thyroid diseases. bA significantly greater value in the UA group than the DA group and the UA group than the NA group for the following parameter: coronary heart disease. cA significantly lower value in the NA group than the UA group and the DA group for the following parameters: chronic kidney disease, heart failure, atrial fibrillation, aspirin, anticoagulants (DOACs/VKA), coronary angiography, PTCA, chronic liver diseases, venous thromboembolism, dementia syndrome, clopidogrel. dA significantly greater value in the DA group than the UA group for COPD. COPD – chronic obstructive pulmonary disease, DA – defined anemia, DOAC – direct oral anticoagulants, NA – no anemia, PTCA – percutaneous transluminal coronary angioplasty, UA – unexplained anemia, VKA – vitamin K antagonist. A p-value less than 0.05 was considered statistically significant. *The subject of analysis was whether the procedure was performed in a patient at least once and not the number of procedures performed in the patient.

Analysis of co-morbidities and the use of selected groups of drugs and performed procedures in patients with unexplained anemia, defined anemia and no anemia A significantly greater value in the UA group than the NA group for the following parameters: hypertension and thyroid diseases. bA significantly greater value in the UA group than the DA group and the UA group than the NA group for the following parameter: coronary heart disease. cA significantly lower value in the NA group than the UA group and the DA group for the following parameters: chronic kidney disease, heart failure, atrial fibrillation, aspirin, anticoagulants (DOACs/VKA), coronary angiography, PTCA, chronic liver diseases, venous thromboembolism, dementia syndrome, clopidogrel. dA significantly greater value in the DA group than the UA group for COPD. COPD – chronic obstructive pulmonary disease, DA – defined anemia, DOAC – direct oral anticoagulants, NA – no anemia, PTCA – percutaneous transluminal coronary angioplasty, UA – unexplained anemia, VKA – vitamin K antagonist. A p-value less than 0.05 was considered statistically significant. *The subject of analysis was whether the procedure was performed in a patient at least once and not the number of procedures performed in the patient.

All-cause mortality

Of the 981 patients, 40 (4.0%) died during the 3-year follow-up, including 16 (13.2%) patients with DA, 5 (10%) with UA and 19 (2.3%) in the group without anemia. In a Kaplan-Meier analysis, patients with UA and patients with DA had significantly lower overall survival rates as compared to patients without anemia (χ2 = 29.54, p < 0.001) (Figure 2). The survival of people in the UA vs. DA vs. NA group was 88% vs. 88% vs. 97% after 360 days, 87% vs. 83% vs. 94% after 720 days and 87% vs. 83% vs. 89% at the time of follow-up (after 1080 days), respectively. No significant differences were observed in survival rates in the 3-year follow-up, between patients with UA and DA.
Figure 2

Kaplan-Meier analysis of overall survival rates in the analyzed groups

Kaplan-Meier analysis of overall survival rates in the analyzed groups

Discussion

In this retrospective analysis of 981 patients aged ≥ 60 years, unexplained anemia was found in 4.9% of the total studied population and in 28.4% of patients diagnosed with anemia. These results are compatible with other studies [5-10]. In our study, the prevalence of UA increased with age, being the highest in the population ≥ 80 years. To our knowledge, the prevalence of UA depending on age has not been previously analyzed. However, an increase in the incidence of anemia with age is well documented [1, 9, 18, 19], as it is associated with the process of aging and deterioration in the functioning of a number of organs, including bone marrow, kidneys, the immune system and deficiencies of sex hormones [10, 20, 21]. Bone marrow disorders, observed in the elderly, are considered to be particularly important, as myelodysplastic syndrome (MDS) occurs in 5–15% of those with anemia or other cytopenias [5, 7, 9, 19]. Therefore, the presence of cytopenias, after excluding vitamin B12 or folic acid deficiencies, should lead to the diagnosis of MDS or other clonal diseases. In our study 81% of the patients with unexplained anemia lacked adequate hematological diagnostics. Bone marrow examination and cytogenetic/molecular tests were not performed in any of these patients, probably due to the mild grade of the anemia and the invasiveness of the procedure. It also seems that the presence of anemia in elderly patients is overlooked by doctors. Since almost 19% of the UA patients had leukopenia and/or thrombocytopenia or macrocytosis, MDS was the possible reason for anemia, at least in some cases. It was interesting that incomplete diagnosis of anemia was significantly more common in the youngest group of patients (60–69 years). A possible explanation is the number of comorbidities increasing with age, which means more frequent medical consultations and hospitalizations, increasing the likelihood of diagnosis of anemia. Patients with UA had more comorbidities and more often suffered from cardiovascular disease (hypertension, coronary heart disease, heart failure and atrial fibrillation), chronic kidney disease, thyroid diseases, chronic liver diseases, venous thromboembolism and dementia syndrome. The UA degree in the elderly was found to be mild to moderate, as in other studies [10, 20, 21], and diagnosis of anemia was often incomplete in both out- and in-patients [22-24]. In the study of Artz et al., only 31% of patients with UA and other associated hematological abnormalities underwent bone marrow examination, and consequently myeloid neoplasms were diagnosed in 7.5% of patients with anemia, including MDS or acute myeloid leukemia in 5% of patients [7]. Molecular studies confirmed that somatic mutations were observed more often in patients with cytopenia in comparison to the healthy population; however, the same observation concerned people older than 75 [12]. It is also well known that there is a higher risk of hematological malignancies if multiple mutations, especially at high frequency, are present in patients with cytopenia [12, 25]. Despite some uncertainty, clinical testing for mutation is reasonable in the case of UA, especially in this population [11, 12]. One should be aware however that in routine practice, cytogenetic/molecular and other tests in all elderly patients usually frail, with mild UA probably not being possible mainly due to the invasiveness and high costs. Bone marrow biopsy in elderly patients with mild anemia is controversial and discussed in the literature. According to Abrahamsen et al., invasive diagnostics are not necessary in patients with mild UA, and attentive observation is sufficient [13]. For now, it seems that research in patients with UA on the role of disorders related to notch signaling or long chain non-coding RNA is the future in prevention, prognosis or treatment, as is the case of many age-related diseases, including hematological malignancies and other cancers [26-28]. In our study however, during a 3-year follow-up, significantly more deaths were noted in the group with UA than in the group without anemia, even though the anemia was mild in most of the cases. The impact of UA on survival rates in elderly patients has only been analyzed in a few studies, with divergent results. The reasons for these discrepancies might be differences in the study populations in terms of age (from > 50 to ≥ 85 years) and other clinical characteristics, such as concomitant diseases, the median concentration of hemoglobin and the duration of follow-up (from 1 to 10 years) [8, 13, 14, 29]. The impact of UA on mortality in different populations of elderly patients would be a key issue in the context of the need for detailed diagnostic procedures. This requires further studies taking into account different age ranges and longer follow-ups. In our study, patients with UA, as compared to those without anemia, were more burdened with comorbidities, more frequently hospitalized and more frequently used ASA, anticoagulants and clopidogrel. There were also differences between patients with UA and DA, including more frequent ischemic heart disease and more frequent use of clopidogrel in the group with UA. It has been shown in many studies that patients with even mild anemia have more comorbidities, especially cardiovascular and kidney diseases and diabetes [1, 5, 13, 30–32], and more often require hospitalization [1, 2, 30, 33], as compared to patients without anemia. Patients with UA, due to the lack of a known cause, often for many years have lower hemoglobin values, which may contribute to the progression of cardiovascular disease. Perhaps for this reason, patients with UA in our study suffered from ischemic heart disease more often than patients with defined anemia (which may be treated). Patients with UA suffered more often from a dementia syndrome and attained a lower score on the Barthel scale than patients without anemia, as was also previously reported in other studies [13, 34]. The Barthel scale was implemented more frequently in individuals with anemia, which indicates their worse condition, as the Barthel scale is used in Poland to establish indications for long-term care (both stationary and home). It can be assumed that inferior physical and cognitive status might contribute to inadequate diagnosis of anemia, especially in the case of UA, where specialist consultations, invasive procedures, or even hospitalization are required. In almost 17% of patients with UA in the present analysis, surgery was performed within 3 months before the diagnosis of anemia. In the literature, hospital-acquired anemia (HAA) is mentioned as one of the main causes of anemia [35], and it is probably one of the most ignored causes of anemia in the elderly. In this analysis, we used the definition of anemia according to WHO criteria from 1968. A wide discussion on the hemoglobin threshold exists in the literature [2, 3, 14, 36, 37], it being suggested by some authors that the normal Hb value in elderly patients is too high [14, 37]. On the other hand, many studies indicate that anemia, even at a mild degree, increases mortality and morbidity in the elderly [1–3, 38]. Our research has limitations resulting from its retrospective character and incomplete data including erythrocyte indices. Indeed, a large group of patients (981) were included in the study, but patients with UA constituted only 48 patients. In addition, patients with UA in relation to those without anemia were older and had more comorbidities, which could have affected their inferior survival rates. While anemia is a symptom of many diseases, it can also influence the course of many diseases, including atherosclerosis and cardiovascular diseases [39, 40], and thus increase the risk of death. It seems that anemia – even mild in an elderly patient – is an alarm symptom, indicating increased mortality. In conclusion, UA is a common problem in the population aged ≥ 60 years. It accounted for almost one third of the anemia cases in this retrospective analysis and its prevalence increased with age. Despite the fact that the anemia was mild in the majority of patients with UA, the results of our study demonstrated higher mortality, worse performance status assessed with the Barthel scale, and more comorbidities and hospitalizations in the group with UA as compared to the group without anemia. We have shown that UA was insufficiently diagnosed in the elderly Polish population. Establishing a diagnosis would allow for causal treatment of anemia, whenever possible, resulting in an improvement of patients’ outcome. There is a need for further research on anemia in the elderly not only to identify the causes, but also to develop recommendations for diagnostic procedures and treatment of undefined anemia, for hematologists as well as for primary care physicians.
  40 in total

1.  Prevalence and survival of myelodysplastic syndrome of the refractory anemia type in hospitalized cognitively different geriatric patients.

Authors:  Y Beloosesky; A M Cohen; B Grosman; J Grinblat
Journal:  Gerontology       Date:  2000 Nov-Dec       Impact factor: 5.140

2.  Anemia and mortality in older persons: does the type of anemia affect survival?

Authors:  Robert M Shavelle; Ross MacKenzie; David R Paculdo
Journal:  Int J Hematol       Date:  2012-02-21       Impact factor: 2.490

3.  Relation of low hemoglobin and anemia to morbidity and mortality in patients hospitalized with heart failure (insight from the OPTIMIZE-HF registry).

Authors:  James B Young; William T Abraham; Nancy M Albert; Wendy Gattis Stough; Mihai Gheorghiade; Barry H Greenberg; Christopher M O'Connor; Lilin She; Jie Lena Sun; Clyde W Yancy; Gregg C Fonarow
Journal:  Am J Cardiol       Date:  2008-01-15       Impact factor: 2.778

Review 4.  The emerging role of Notch pathway in ageing: Focus on the related mechanisms in age-related diseases.

Authors:  Carmela Rita Balistreri; Rosalinda Madonna; Gerry Melino; Calogero Caruso
Journal:  Ageing Res Rev       Date:  2016-06-17       Impact factor: 10.895

5.  A retrospective study investigating the incidence and predisposing factors of hospital-acquired anemia.

Authors:  Peter C Kurniali; Stephanie Curry; Keith W Brennan; Kim Velletri; Mohammed Shaik; Kenneth A Schwartz; Elise McCormack
Journal:  Anemia       Date:  2014-12-21

6.  Predictive values of Notch signalling in renal carcinoma.

Authors:  Dorota Jędroszka; Magdalena Orzechowska; Andrzej K Bednarek
Journal:  Arch Med Sci       Date:  2017-01-31       Impact factor: 3.318

7.  Association of mild anemia with cognitive, functional, mood and quality of life outcomes in the elderly: the "Health and Anemia" study.

Authors:  Ugo Lucca; Mauro Tettamanti; Paola Mosconi; Giovanni Apolone; Francesca Gandini; Alessandro Nobili; Maria Vittoria Tallone; Paolo Detoma; Adriano Giacomin; Mario Clerico; Patrizia Tempia; Adriano Guala; Gilberto Fasolo; Emma Riva
Journal:  PLoS One       Date:  2008-04-02       Impact factor: 3.240

8.  Prevalence, Comorbidity and Investigation of Anemia in the Primary Care Office.

Authors:  Shivani Jatin Gandhi; Iris Hagans; Karim Nathan; Krystal Hunter; Satyajeet Roy
Journal:  J Clin Med Res       Date:  2017-11-06

9.  Biomarkers, myocardial fibrosis and co-morbidities in heart failure with preserved ejection fraction: an overview.

Authors:  Marta Michalska-Kasiczak; Agata Bielecka-Dabrowa; Stephan von Haehling; Stefan D Anker; Jacek Rysz; Maciej Banach
Journal:  Arch Med Sci       Date:  2018-06-11       Impact factor: 3.318

10.  Comorbidities, repeated hospitalizations, and age ≥ 80 years as indicators of anemia development in the older population.

Authors:  Sylwia Sulimiera Michalak; Joanna Rupa-Matysek; Lidia Gil
Journal:  Ann Hematol       Date:  2018-04-09       Impact factor: 3.673

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Review 1.  Unexplained anemia of aging: Etiology, health consequences, and diagnostic criteria.

Authors:  Jack Guralnik; William Ershler; Andrew Artz; Alejandro Lazo-Langner; Jeremy Walston; Marco Pahor; Luigi Ferrucci; William J Evans
Journal:  J Am Geriatr Soc       Date:  2021-11-19       Impact factor: 7.538

2.  Clinical Implications of the Coexistence of Anemia and Diabetes Mellitus in the Elderly Population.

Authors:  S S Michalak; E Wolny-Rokicka; E Nowakowska; M Michalak; L Gil
Journal:  J Diabetes Res       Date:  2021-10-18       Impact factor: 4.011

3.  Prognostic impact of anemia on the mortality of United Arab Emirates nationals with cardiovascular disease.

Authors:  Saif Al-Shamsi; Ghada S M Al-Bluwi; Maitha Al Shamsi; Nouf Al Kaabi; Sara Al Khemeiri; Noura Baniyas
Journal:  Qatar Med J       Date:  2022-03-12
  3 in total

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