Literature DB >> 27186078

Incidence of anemia in patients diagnosed with solid tumors receiving chemotherapy, 2010-2013.

Hairong Xu1, Lanfang Xu2, John H Page1, Kim Cannavale2, Olivia Sattayapiwat2, Roberto Rodriguez3, Chun Chao2.   

Abstract

PURPOSE: The purpose of this study was to evaluate and characterize the risk of anemia during the course of chemotherapy among patients with five common types of solid tumors. PATIENTS AND METHODS: Patients diagnosed with incident cancers of breast, lung, colon/rectum, stomach, and ovary who received chemotherapy were identified from Kaiser Permanente Southern California Health Plan (2010-2012). All clinical data were collected from the health plan's electronic medical records. Incidence proportions of patients developing anemia and 95% confidence intervals were calculated overall and by anemia severity and type, as well as by stage at cancer diagnosis, and by chemotherapy regimen and cycle.
RESULTS: A total of 4,426 patients who received chemotherapy were included. Across cancers, 3,962 (89.5%) patients developed anemia during the course of chemotherapy (normocytic 85%, macrocytic 10%, microcytic 5%; normochromic 47%, hyperchromic 44%, hypochromic 9%). The anemia grades were distributed as follows: 58% were grade 1, 34% grade 2, 8% grade 3, and <1% grade 4. The incidence of grade 2+ anemia ranged from 26.3% in colorectal cancer patients to 59.2% in ovarian cancer patients. Incidence of grade 2+ anemia increased from 29% in stage I to 49% in stage IV. Incidence of grade 2+ anemia varied from 18.2% in breast cancer patients treated with cyclophosphamide + docetaxel regimen to 59.7% in patients with ovarian cancer receiving carboplatin + paclitaxel regimen.
CONCLUSION: The incidence of moderate-to-severe anemia (hemoglobin <10 g/dL) remained considerably high in patients with solid tumors receiving chemotherapy. The risk of anemia was greater in patients with distant metastasis.

Entities:  

Keywords:  anemia; chemotherapy; incidence; solid tumors

Year:  2016        PMID: 27186078      PMCID: PMC4847604          DOI: 10.2147/CLEP.S89480

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

Myelosuppressive chemotherapy is a primary treatment modality for treating cancer, since in some settings this strategy decreases the risk of tumor reoccurrence and mortality. Cytotoxic chemotherapy agents can induce anemia through directly impairing hematopoiesis, including synthesis of red blood cell (RBC) precursors in the bone marrow; decreasing renal production of erythropoietin; or a combination of both.1,2 The risk and severity of anemia during chemotherapy vary significantly depending on the type, schedule, and intensity of treatments, and whether the patient has received previous myelosuppressive chemotherapy or radiation therapy, as well as the patient’s underlying medical conditions.3 Previous studies reported that the incidence of anemia may range from 20% to 60% at the time of cancer diagnosis and reach as high as 60–90% during cancer treatments.4–7 Groopman and Itri5 conducted a comprehensive review of published clinical trials of the most common single agents and combination chemotherapy regimens. Risk reported in clinical trials, however, may not reflect real-world clinical practice. Due to many of the enrollment exclusionary criteria applied in randomized clinical trials, patients in real-world clinical practice may have, on average, higher anemia risks due to a higher prevalence of comorbidities, older age, and poorer performance status. In addition, the anemia risk profile may have changed given the changes in current oncology practice. Anemia can cause fatigue, drowsiness, depression, dyspnea, tachycardia, and dizziness, which may result in delay to subsequent cycles of chemotherapy or have a negative impact on patients’ quality of life.8–10 Before the 1990s, RBC transfusions were the primary treatment for severe or life-threatening anemia. Since then, erythropoiesis-stimulating agents (ESAs) have become available for correcting mild-to-moderate anemia and preventing severe anemia. However, beginning in 2003, some studies have suggested that ESA use was associated with decreased patient survival and/or tumor progression or recurrence in patients with breast, lymphoid, cervical, head and neck, and non-small-cell lung cancers.11–14 These data led to a series of prescribing information and policy changes.15 Following these changes, there is evidence of decreased use of ESAs, coupled with a lowering of the average hemoglobin (Hb) concentration among cancer patients receiving myelosuppressive chemotherapy treatment.16 While ESAs are not indicated as a substitute for packed RBC transfusions in patients who require immediate correction of anemia, the potential shift in the perceived Hb trigger levels for anemia treatment has likely resulted in an overall increase in the risk and severity of anemia. Given that little data exist on the risk of anemia among patients receiving chemotherapy in current oncology practice, we conducted this retrospective cohort study to comprehensively evaluate and characterize the risk of chemotherapy-induced anemia (CIA) during the course of chemotherapy among patients with five common types of solid tumors diagnosed in 2010–2012 at Kaiser Permanente Southern California (KPSC).

Patients and methods

Study setting and data sources

KPSC is an integrated managed care organization that provides comprehensive health services for 3.5 million racially/ethnically and socioeconomically diverse enrollees who are broadly representative of residents in southern California.17 KPSC maintains a number of electronic clinical records for virtually all aspects of care delivered, including diagnoses in the form of International Statistical Classification of Disease (ICD-9) codes, medical procedures, pharmacy dispensing, laboratory test results, and disease registries, all linkable through a unique member identifier. Patients diagnosed with incident breast, lung, gastric, ovarian, or colorectal cancer were identified using KPSC’s Surveillance, Epidemiology, and End Results-affiliated cancer registry. KPSC’s cancer registry routinely collects information on age at diagnosis, sex, race/ethnicity, histology, location, stage, and initial cancer treatment. The quality of the cancer registry data is assured by the Surveillance, Epidemiology, and End Results standard. Ethical approval from KPSC review board was obtained for this study.

Study population

The study cohort comprised patients who met the following inclusion criteria: 1) diagnosed with incident breast, lung, gastric, ovarian, or colorectal cancer at age 18 or older at KPSC between March 2010 and December 2012; 2) initiated chemotherapy at KPSC before June 30, 2013; 3) had at least one laboratory measurement of Hb during chemotherapy; and 4) had at least 12 months of KPSC membership prior to cancer diagnosis. We further excluded patients who had at least one of the following criteria: 1) had unknown cancer stage or for whom chemotherapy agents could not be identified; 2) had a diagnosis of myelodysplastic syndromes or inherited anemia; 3) had an Hb concentration <10 g/dL within 3 months prior to chemotherapy initiation; 4) had a transfusion within 2 weeks prior to chemotherapy initiation; 5) received bone marrow or stem cell transplantation within 12 months prior to chemotherapy initiation or during the chemotherapy course; or 6) received radiation therapy within 4 months prior to chemotherapy initiation.

Chemotherapy regimens and cycles

For each patient, the first observed course of chemotherapy was characterized, as was each cycle within that course; only the first course of chemotherapy was considered in analyses. The index date was defined as the date of chemotherapy initiation during the study period. Patients were followed from the index date to 60 days after their last dose of first-course chemotherapy, death, or end of KPSC membership, whichever came first. Chemotherapy regimens and cycles were characterized from the electronic oncology pharmacy dispensing data-bases at KPSC. The oncology pharmacy dispensing databases contain oncology treatment information for all KPSC cancer patients, including information on chemotherapy, ancillary therapy, and biologics. Data entered by KPSC pharmacists and nurses encompass generic and brand names of the chemotherapy regimens, dosages, dates of administration, and start/end dates of chemotherapy cycles.

Anemia measurement

Following National Cancer Institute’s Common Terminology Criteria for Adverse Events, anemia was classified as grade 1: 10 g/dL to lower limit of normal (14 g/dL for men and 12 g/dL for women); grade 2: 8.0–9.9 g/dL; grade 3: 6.5–7.9 g/dL; and grade 4: <6.5 g/dL.5 Most severe anemia grade was used to estimate the incidence proportion of anemia by grade. We also determined the type of anemia using mean corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH) as microcytic anemia (MCV <80 fL), normocytic anemia (80≤ MCV ≤100 fL), macrocytic anemia (MCV >100 fL), hypochromic anemia (MCH <27 pg/cell), normochromic anemia (27 ≤MCH ≤31 pg/cell), and hyperchromic anemia (MCH ≤31 pg/cell).2

Covariates

Patient characteristics that were examined in the study included age at cancer diagnosis, sex, race/ethnicity, cancer stage at diagnosis, length of KPSC membership, and presence of selected comorbid conditions. Chronic comorbidities were assessed from the beginning of the 12-month pretreatment period to the frst day of the chemotherapy course.

Statistical analysis

Characteristics of patients and their treatment were described, and categorical variables were reported as percentages; for continuous variables, means, standard deviations, medians, and selected quartiles were reported. The incidence proportions of anemia and corresponding 95% confidence intervals were estimated overall and by severity and type, as well as by cancer stage at diagnosis, and by regimen and cycle. We also estimated the incidence proportions of anemia by age, sex, and ethnicity; and the results were similar across subgroups (data not shown). In addition, we estimated the regimen-specific incidence proportions of anemia for the common regimens (n.>100 patients). To minimize the selection bias and have a more representative longitudinal profile of anemia risk over chemotherapy cycles, we estimated the cycle-specific incidence proportion up to the number of cycles with at least 50% of patients remaining in the sample (less than 50% of loss to follow-up). All analyses were conducted using SAS statistical software version 9.2 (Statistical Analysis System Inc., Cary, NC, USA).

Results

The study sample included 4,426 patients who met the specified inclusion criteria (Figure 1). Their baseline characteristics are summarized in Table 1. Of the five cancers of interest, breast cancer was the most frequent diagnosis (n=2,348, 53.1%), followed by lung cancer (n=888, 20.1%), colorectal cancer (n=678, 15.3%), ovarian cancer (n=319, 7.2%), and gastric cancer (n=193, 4.4%). Overall, mean age (standard deviation) was 59.3 (11.9) years. There were numerically more females than males. The majority of patients were diagnosed with stage III or IV disease, except those with breast cancer, in whom stage I to II cancers predominated. The mean (standard deviation) Hb before chemotherapy was 12.9 (1.3) g/dL across cancer types. The most common comorbid conditions before starting chemotherapy were hypertension (42%), diabetes (18%), and chronic obstructive pulmonary disease/emphysema (14%).
Figure 1

Study Population-inclusion/exclusion fow diagram.

Abbreviations: KPSC, Kaiser Permanente Southern California; MRN, member registration number; MDS, myelodysplastic syndrome; Hb, hemoglobin.

Table 1

Characteristics of the study population

Total (N=4,426)Breast (N=2,348)Colorectal (N=678)Gastric (N=193)Lung (N=888)Ovary (N=319)
Age at cancer diagnosis (years), mean (SD)59.3 (11.9)55.9 (11.2)59.9 (11.7)61.4 (12.1)66.8 (9.8)61.1 (12.5)
Male, n (%)978 (22.1)19 (0.8)349 (51.5)132 (68.4)478 (53.8)0 (0)
BMI (kg/m2), mean (SD)28.1 (6.3)29.3 (6.7)27.7 (5.7)26.1 (5.1)26.2 (5.2)26.4 (6.4)
Race/ethnicity, n (%)
 White2,352 (53.1)1,160 (49.4)360 (53.1)84 (43.5)571 (64.3)177 (55.5)
 Black552 (12.5)316 (13.5)90 (13.3)15 (7.8)106 (11.9)25 (7.8)
 Hispanic937 (21.2)536 (22.8)153 (22.6)74 (38.3)106 (11.9)68 (21.3)
 Asian/Pacifc Islander565 (12.8)328 (15.0)72 (10.6)20 (10.4)99 (11.2)46 (14.4)
 Other/unknown20 (0.5)8 (0.3)3 (0.4)0 (0)6 (0.7)3 (0.9)
Cancer stage at diagnosis, n (%)
 I882 (19.9)732 (31.2)25 (3.7)17 (8.8)40 (4.5)68 (21.3)
  II1,384 (31.3)1,111 (47.3)109 (16.1)27 (14.00)82 (9.2)55 (17.2)
 III1,199 (27.1)415 (17.7)381 (56.2)64 (33.2)247 (27.8)92 (28.8)
 IV961 (21.7)90 (3.8)163 (24.0)85 (44.0)519 (58.5)104 (32.6)
Length of KPSC membership prior to chemotherapy (year)
 Mean (SD)15.3 (12.0)14.6 (11.7)14.8 (11.7)16.0 (11.8)17.1 (12.7)16.2 (12.6)
 Median (Q1, Q3)12.3 (5.2, 22.6)11.5 (4.9, 21.8)12.0 (4.9, 22.3)13.7 (6.3, 23.6)14.4 (6.5, 25.2)13.7 (5.5, 23.2)
Number of chemotherapy cycles
 Mean (SD)7.0 (5.0)8.0 (5.4)8.4 (5.2)4.1 (2.4)4.2 (3.0)6.0 (2.5)
 Median (Q1, Q3)6.0 (4.0, 8.0)6.0 (4.0, 8.0)8.0 (5.0, 12.0)4.0 (2.0, 6.0)4.0 (2.0, 6.0)6.0 (6.0, 6.0)
Baseline Hb (g/dL)
 Mean (SD)12.9 (1.3)13.1 (1.1)12.4 (1.3)12.5 (1.6)13.0 (1.5)12.0 (1.1)
 Median (Q1, Q3)12.9 (12.0, 13.7)13.2 (12.4, 13.8)12.4 (11.4, 13.3)12.4 (11.4, 13.5)13.0 (11.9, 14.0)12.0 (11.2, 12.8)
History of other conditions/events prior to chemotherapy course, n (%)
 Surgery3,360 (75.9)2,062 (87.8)577 (85.1)90 (46.6)367 (41.3)264 (82.8)
 Congestive heart failure83 (1.9)25 (1.1)15 (2.2)2 (1.0)36 (4.1)5 (1.6)
 COPD/emphysema628 (14.2)212 (9.0)53 (7.8)8 (4.2)329 (37.1)26 (8.2)
 Diabetes795 (18.0)359 (15.3)151 (22.3)43 (22.3)192 (21.6)50 (15.7)
 Diabetes with end-organ damage435 (9.8)176 (7.5)85 (12.5)31 (16.1)120 (13.5)23 (7.2)
 Liver disease66 (1.5)23 (1.0)14 (2.1)7 (3.6)14 (1.6)8 (2.5)
 Renal disease352 (8.0)120 (5.1)72 (10.6)20 (10.4)120 (13.5)20 (6.3)
 Rheumatoid disease65 (1.5)33 (1.4)5 (0.7)1 (0.5)16 (1.8)10 (3.1)
 Thyroid disorder491 (11.1)275 (11.7)52 (7.7)20 (10.4)93 (10.5)51 (16.0)
 Hypertension1,872 (42.3)852 (36.3)290 (42.8)86 (44.6)501 (56.4)143 (44.8)
 Myocardial infarction104 (2.4)17 (0.7)20 (3.0)4 (2.1)59 (6.6)4 (1.3)
 Osteoarthritis386 (8.7)193 (8.2)55 (8.1)15 (7.8)88 (9.9)35 (11.0)
 Peripheral vascular disease128 (2.9)17 (0.7)21 (3.1)3 (1.6)80 (9.0)7 (2.2)
 Thrombosis44 (1.0)7 (0.3)15 (2.2)4 (2.1)12 (1.4)6 (1.9)
 Peptic ulcer disease35 (0.8)5 (0.2)2 (0.3)15 (7.8)12 (1.4)1 (0.3)
 HIV infection6 (0.1)1 (0.0)3 (0.4)1 (0.5)1 (0.1)0 (0.0)

Abbreviations: KPSC, Kaiser Permanente southern California; BMI, body mass index; COPD, chronic obstructive pulmonary disease; HB, hemoglobin; HIV, human immunodeficiency virus; SD, standard deviation.

Across cancers, 3,962 (89.5%) patients developed any grade anemia during the course of chemotherapy, ranging from 86.3% in patients diagnosed with breast cancer to 98.4% in ovarian cancer patients. Of these 3,962 anemic patients, 58%, 34%, 8%, and <1% had grades 1, 2, 3, and 4 anemia as the most severe grade during the study period, respectively; 85%, 10%, and 5% had normocytic, macrocytic, and microcytic anemia, respectively; and 47%, 44%, and 9% of patients had normochromic, hyperchromic, and hypochromic anemia, respectively. The incidence proportion of grade 2+ anemia (Hb <10 g/dL) was highest in patients with ovarian cancer (59.2%) and lowest in patients with colorectal cancer (26.3%). The risk of severe anemia (grade 3+, Hb <8 g/dL) was highest in patients with ovarian cancer (16.9%) and lowest in patients with colorectal cancer (4%) (Table 2).
Table 2

Proportion of patients developing CIA by CIA severity and type

Total (N=4,426)Breast (N=2,348)Colorectal (N=678)Gastric (N=193)Lung (N=888)Ovary (N=319)
Incidence proportion (%, 95% confidence interval)
 Anemia, any grade89.5 (88.6–90.4)86.3 (84.9–87.7)91.7 (89.7–93.8)98.4 (96.7–100)93.1 (91.5–94.8)93.1 (90.3–95.9)
Percentage of CIAa
Anemia severitya
 Grade 157.861.071.441.151.336.4
 Grade 233.733.324.144.735.345.5
 Grade 37.65.34.211.112.016.2
 Grade 40.90.40.33.21.52.0
Anemia typea
 Microcytic5.34.011.47.44.03.1
 Normocytic84.989.375.976.784.679.6
 Macrocytic9.86.712.715.911.417.3
Anemia typea
 Hypochromic8.77.116.610.17.55.4
 Normochromic46.950.741.848.142.842.5
 Hyperchromic44.442.241.641.849.852.0

Note:

Using the most severe CIA episode for patients with multiple CIA episodes.

Abbreviation: CIA, chemotherapy-induced anemia.

Table 3 lists the distribution of chemotherapy regimens by tumor type. For breast cancer patients, the most common regimens were docetaxel + cyclophosphamide (TC; 36%), doxorubicin + cyclophosphamide followed by paclitaxel/docetaxel (AC→T; 28%), and docetaxel + carboplatin + trastuzumab (TCH: 17%). The most common regimens among patients with lung cancer were carboplatin + paclitaxel (34.1%), carboplatin + etoposide (23.5%), and pemetrexed + cisplatin/carboplatin (18.2%).
Table 3

Distribution of chemotherapy regimens by tumor type

Regimen nameN (%) of patientsNumber of cycles
Mean (SD)Median (Q1, Q3)
Breast cancer, n=2,348
 AC109 (4.6)3.5 (1)4 (4, 4)
 TAC157 (6.7)5.7 (1.0)6 (6, 6)
 AC→T655 (27.9)9.2 (4.0)8 (8, 8)
 Docetaxel + cyclophosphamide (TC)855 (36.4)4.5 (1.7)4 (4, 4)
 TCH399 (17.0)15.9 (4.6)18 (16, 18)
 Other173 (7.4)8.3 (6.2)6 (4, 13)
Colorectal cancer, n=678
 5-FU with RT53 (7.8)4.8 (3.2)6 (2, 6)
 CAPOX155 (22.9)6.5 (4.2)6 (3, 8)
 FOLFOX390 (57.5)10.3 (4.7)12 (8, 12)
 Other80 (11.8)4.8 (5.7)3 (2, 6)
Gastric cancer n=193
 5-FU + LV + RT43 (22.3)3.3 (1.1)4 (3, 4)
 CAPOX24 (12.4)4.8 (2.6)6 (3, 7)
 Carboplatin + paclitaxel + RT13 (6.7)1.8 (1.7)1 (1, 1)
 ECF2 (1.0)3.5 (3.5)4 (1, 6)
 EOX40 (20.7)5.1 (2.4)6 (3, 6)
 FOLFOX25 (13.0)3.7 (3.1)2 (2, 4)
 Other46 (23.8)4.4 (2.3)4 (3, 6)
Lung cancer n=888
 CARBO + GEM89 (10.0)4.0 (1.9)4 (3, 6)
 CARBO + TAX303 (34.1)3.8 (2.2)4 (2, 6)
 CARBO + VP16209 (23.5)3.7 (1.7)4 (2, 5)
 Cisplatin (or carboplatin) + permetrexed162 (18.2)5.9 (4.7)4 (4, 6)
 Cisplatin (or carboplatin) + vinorelbine47 (5.3)3.4 (1.3)4 (3, 4)
 Pemetrexed27 (3.0)5.8 (5.0)4 (2, 11)
 Other51 (5.7)4.0 (3.8)3 (1, 6)
Ovarian cancer n=319
 CARBO + TAX293 (91.9)6.0 (2.3)6 (6, 6)
 Carboplatin (or cisplatin) only ± bevacitumab14 (4.4)6.9 (4.5)6 (6, 6)
 Other12 (3.8)4.2 (1.8)4 (3, 6)

Abbreviations: AC, Doxorubicin + cyclophosphamide; TAC, Docetaxel + doxorubicin + cyclophosphamide; AC→T, Doxorubicin + cyclophosphamide followed by paclitaxel or docetaxel; TCH, Docetaxel + carboplatin + trastuzumab; 5-FU, 5-fluorouracil; RT, radiation therapy; CAPOX, Capecitabine + oxaliplatin; FOLFOX, Leucovorin calcium + 5-fluorouracil + oxaliplatin; 5-FU + LV + RT, 5-Fluorouracil + leucovorin + radiation therapy; ECF, Epirubicin + cisplatin + 5-fluorouracil; EOX, Epirubicin + oxaliplatin + capecitabine; CARBO + GEM, Carboplatin + gemcitabine; CARBO + TAX, Carboplatin + paclitaxel; CARBO + VP16, Carboplatin + etoposide; SD, standard deviation.

The incidence of any grade anemia varied significantly for selected chemotherapy regimens, ranging from 77% to 96% (Table 4). The incidence of grade 2+ anemia varied from 18.2% in breast cancer patients treated with TC regimen to 59.7% in patients with ovarian cancer receiving carboplatin + paclitaxel (Carbo-Tax; National Cancer Institute, Bethesda, MD, USA) regimen. A smaller incidence proportion of patients had grade 3+ anemia (Hb <8 g/dL), with the lowest proportion in 2% breast cancer patients treated with TC regimen and the largest proportion (17%) in ovarian cancer patients receiving Carbo-Tax (Table 4, Figure 2). Across cancers, our analysis showed that the incidence of any grade anemia increased from 59% in cycle 1 to 83% by cycle 5. We also observed a steady increase in the fraction of grades 2 or 3 anemia associated with a great number of cycles. Figure 3 shows the incidence of anemia and the fractions in each grade for selected regimens by chemotherapy cycles.
Table 4

Incidence proportion of anemia associated with selected regimens

Regimen nameIncidence (%, 95% CI)
Percentage of CIA (%)a
Any gradeGrade IGrade IIGrade IIIGrade IV
Breast cancer
 AC78.9 (71.2–86.6)57.034.98.10
 TAC91.1 (86.6–95.5)60.835.72.80.7
 AC→T95.7 (94.2–97.3)57.338.04.50.3
 TC77.1 (74.3–79.9)76.320.62.60.5
 TCH96.2 (94.4–98.1)43.845.310.70.3
Colorectal cancer
 CAPOX89.7 (84.9–94.5)72.724.52.90
 FOLFOX94.6 (92.4–96.9)73.721.74.30.3
Lung cancer
 CARBO + TAX93.1 (90.2–95.9)59.631.29.20
 CARBO + VP1694.7 (91.7–97.8)42.441.913.62.0
 Cisplatin (or carboplatin) + permetrexed86.4 (81.1–91.7)57.127.912.92.1
Ovarian cancer
 CARBO + TAX92.8 (89.9–95.8)35.746.016.22.2

Notes:

Using the most severe CIA episode for patients with multiple CIA episodes.

Abbreviations: AC, Doxorubicin + cyclophosphamide; TAC, Docetaxel + doxorubicin + cyclophosphamide; AC→T, Doxorubicin + cyclophosphamide followed by paclitaxel or docetaxel; TC, Docetaxel + cyclophosphamide; TCH, Docetaxel + carboplatin + trastuzumab; CAPOX, Capecitabine + oxaliplatin; FOLFOX, Leucovorin calcium + 5-fluorouracil + oxaliplatin; CARBO + TAX, Carboplatin + paclitaxel; CARBO + VP16, Carboplatin + etoposide; CI, confidence interval; CIA, chemotherapy-induced anemia.

Figure 2

Incidence proportion of anemia by grade associated with selected regimens during the course of chemotherapy.

Abbreviations: AC, doxorubicin (Adriamycin) and cyclophosphamide (Cytoxan); TAC, docetaxel (Taxotere), doxorubicin (Adriamycin), and cyclophosphamide (Cytoxan); AC → T, doxorubicin (Adriamycin) and cyclophosphamide (Cytoxan) followed by paclitaxel (Taxol) or docetaxel (Taxotere); TC, docetaxel (Taxotere) and cyclophosphamide (Cytoxan); TCH, Taxotere, Carboplatin, Herceptin; CAPOX, capecitabine and oxaliplatin; FOLFOX, Leucovorin calcium, 5-Fluorouracil and Oxaliplatin; CARBO + TAX, carboplatin and Paclitaxel (Taxol); CARBO + VP16, Carboplatin and Etoposide; Hb, hemoglobin.

Figure 3

Incidence of anemia among patients with four common cancers.

Notes: (A) Incidence of anemia by chemotherapy regimens and cycles among patients with breast cancer, (B) colorectal cancer, (C) lung cancer, and (D) ovarian cancer.

Abbreviations: AC to T, doxorubicin (Adriamycin) and cyclophosphamide (Cytoxan) followed by paclitaxel (Taxol) or docetaxel (Taxotere); TC, docetaxel (Taxotere) and cyclophosphamide (Cytoxan); TCH, Taxotere, Carboplatin, Herceptin; CAPOX, capecitabine and oxaliplatin; FOLFOX, Leucovorin calcium, Fluorouracil and Oxaliplatin; CARBO + TAX, carboplatin and Paclitaxel (Taxol); CARBO + VP16, Carboplatin and Etoposide; HB, hemoglobin.

We repeated the analyses by cancer stage. The incidence of anemia was greater in patients with advanced stages. Overall, the risk of grade 2+ anemia was increased from 29% in stage I to 49% in stage I V. The incidence of grade 3 or 4 anemia was approximately 12% in patients with stage IV disease, ranging from 3.7% in patients with stage IV colorectal cancer to 21.2% in patients with stage IV ovarian cancer (Figure 4).
Figure 4

Incidence proportion of anemia among cancer patients receiving chemotherapy by stage.

Abbreviation: Hb, hemoglobin.

Discussion

Anemia is a common hematologic complication of chemotherapy, and is associated with increased morbidity, mortality, and health-care cost. Although incidence and prevalence of CIA have been extensively reported in previous studies, 1,4,5,7 little data exist on the risk of anemia associated with chemotherapy regimens in current oncology practice. This retrospective cohort study, using data from the large integrated KPSC Health Plan, examined and characterized the risk of anemia among patients with solid tumors receiving chemotherapy. We found that the risk of moderate-to-severe CIA (Hb <10 g/dL) remained considerably high (38%) in patients with five common types of solid tumors receiving chemotherapy, ranging from 26% in colorectal cancer to 59% in ovarian cancer; and the risk of anemia was even greater in patients with more advanced cancer. The incidence of severe anemia (Hb <8 g/dL) was highest in patients with ovarian cancer (16.9%) and lowest in patients with colorectal cancer (4%). The incidence of anemia varied significantly across chemotherapy regimens, with the proportions of patients with Hb <10 g/dL ranging from 18.2% in breast cancer patients treated with TC regimen to 59.7% in patients with ovarian cancer receiving Carbo-Tax regimen. We also observed a steady increase in the incidence of anemia as well as the increased fractions of grades 2–4 anemia up to cycle 5, and the incidence declined slightly afterward. The incidence of anemia in cancer patients reported in the previous studies varies significantly, which may be due to variations in patient characteristics, disease and treatment characteristics, as well as differences in the study methods, including in anemia definitions.4,5,7 For instance, a large prospective The European Cancer Anaemia Survey (ECAS) reported that the rate of anemia (defined as Hb <12 g/dL) was 75% in patients treated with chemotherapy, compared with 40% in those not undergoing chemotherapy.7 In another study using a large outpatient oncology electronic medical record database, the rate of anemia (defined as Hb <11 g/dL) was 20.9% at baseline and increased to 46.4–59.0% after treatment with chemotherapy regimens.4 In addition, the proportion of patients with Hb <10 g/L was largest in those treated with gemcitabine-based regimen (26.7%), followed by platinum-based regimen (20.8%), anthracycline-based regimen (19.5%), taxane-based regimen (18.7%), and other regimens (16.2%).4 Most of the previous studies included patients with anemia at baseline in the analysis, while our study excluded patients who had a diagnosis of anemia of other causes or had an Hb <10 g/dL prior to chemotherapy initiation. Compared to previous studies, we observed a relatively higher proportion of patients with moderate or severe anemia in current oncology practice, greatest in patients with ovarian cancer. Despite the differences in the study population, study design, and methods of analysis, it is possible that the potential shift in the perceived Hb trigger level for anemia treatment has resulted in an overall increase in the risk and the severity of anemia due to recent declines in ESA use. We observed a steady increase in the incidence of anemia up to cycle 5 or 6, and the incidence declined slightly afterward. The delayed mode likely reflects the natural life span of the human RBC, which is approximately 120 days.18 Risk increases over time also due to the accumulated myelosuppressive effects of cytotoxic agents over the repeated cycles of therapy. The later decline in risk is likely due to the combined effects of changes in chemotherapy (dose delays, dose reductions, and changed regimens), anemia treatments, and potentially selective losses to follow-up. It should be noted that the etiology of anemia is multifactorialIn this study, we found that approximately 10% of anemic patients were either microcytic or macrocytic; and around 10% of patients were hypochromic. A comprehensive evaluation of anemia as well as the underlying conditions, such as the nutritional status and bone marrow function, may help guide anemia management. There were significant variations in the risk and severity of anemia across chemotherapy regimens. An increased surveillance and more proactive treatment strategy may be needed for those patients receiving “high-risk” regimens (eg, Carbo-Tax). Our studies have several strengths. Published data on the anemia risk profile available in the literature are relatively old, and new data are needed given recent changes in both chemotherapy practice and anemia management. To our knowledge, this is the first comprehensive evaluation of anemia risk, including both anemia severity (grade) and morphological type, among large cohorts of patients receiving chemotherapy regimens in current US practice. Evidence on the risk of anemia associated with some emerging regimens (eg, TC, TCH) is available from clinical trials. Such evidence, however, may not be reflective of clinical practice, because patients and their treatments may vary greatly in this setting (versus those in an experimental setting). Patients in clinical practice are likely to differ from trial subjects in significant ways (eg, more comorbidities, older age, and poorer performance status) that would render them at higher risk of anemia. In addition, other factors – such as use of ESAs, and chemotherapy dose delays and dose reductions – may lead to variation in the anemia profile of patients between the clinical trial and clinical practice settings. This retrospective study had some limitations worthy of comment. First, the data were extracted from electronic medical records rather than being prospectively collected. It is possible that some anemias may go underdiagnosed due to lack of tests ordered. We were not able to further characterize the reasons for anemia due to lack of information on specific tests, such as measures of iron, folate, and B12 status. The study analyses focused primarily on the incidence, severity, and type of anemia associated with different chemotherapy regimens; however, it did not take into account coexisting illness, treatment history, and changes in treatment including chemotherapy, which may have had an impact on the risk and the severity of anemia assessed. In addition, our findings were based on a practice in a highly integrated managed care organization. Despite the fact that the KPSC population is broadly representative of the southern California population at large, our findings may not be generalizable to all US cancer patients, particularly those without health insurance, or patients managed in other practice types. In summary, the results of this study suggested that the risk of anemia remained high among patients with solid tumors receiving chemotherapy. The risk of anemia was greater in patients with distant metastasis. The incidence of anemia varied significantly by chemotherapy regimen and steadily increased over cycles. Patients with anemia should be closely monitored, and a vigilant management strategy may be implemented to reduce the risk of morbidity associated with anemia.
  18 in total

1.  Maintaining normal hemoglobin levels with epoetin alfa in mainly nonanemic patients with metastatic breast cancer receiving first-line chemotherapy: a survival study.

Authors:  Brian Leyland-Jones; Vladimir Semiglazov; Marek Pawlicki; Tadeusz Pienkowski; Sergei Tjulandin; George Manikhas; Antoly Makhson; Anton Roth; David Dodwell; Jose Baselga; Mikhail Biakhov; Konstantinas Valuckas; Edouard Voznyi; Xiangyang Liu; Els Vercammen
Journal:  J Clin Oncol       Date:  2005-08-08       Impact factor: 44.544

2.  Anemia and thrombocytopenia in patients undergoing chemotherapy for solid tumors: a descriptive study of a large outpatient oncology practice database, 2000-2007.

Authors:  Ying Wu; Suresh Aravind; Gayatri Ranganathan; Amber Martin; Luba Nalysnyk
Journal:  Clin Ther       Date:  2009       Impact factor: 3.393

3.  Randomized, double-blind, placebo-controlled trial of erythropoietin in non-small-cell lung cancer with disease-related anemia.

Authors:  James R Wright; Yee C Ung; Jim A Julian; Kathleen I Pritchard; Timothy J Whelan; Column Smith; Barbara Szechtman; Wilson Roa; Liam Mulroy; Leona Rudinskas; Bruno Gagnon; Gord S Okawara; Mark N Levine
Journal:  J Clin Oncol       Date:  2007-02-20       Impact factor: 44.544

Review 4.  Anemia in cancer.

Authors:  M Dicato; L Plawny; M Diederich
Journal:  Ann Oncol       Date:  2010-10       Impact factor: 32.976

Review 5.  Managing hematologic toxicities.

Authors:  Gerardo Capo; Roger Waltzman
Journal:  J Support Oncol       Date:  2004 Jan-Feb

Review 6.  Blood utilization and hemoglobin levels in cancer patients after label and coverage changes for erythropoiesis-stimulating agents.

Authors:  Hairong Xu; James A Kaye; Catherine W Saltus; Jeffrey Crawford; Eduard Gasal; Lawrence T Goodnough
Journal:  Expert Rev Hematol       Date:  2014-08-01       Impact factor: 2.929

7.  Erythropoietin to treat head and neck cancer patients with anaemia undergoing radiotherapy: randomised, double-blind, placebo-controlled trial.

Authors:  Michael Henke; Roland Laszig; Christian Rübe; Ulrich Schäfer; Klaus-Dieter Haase; Burkhard Schilcher; Stephan Mose; Karl T Beer; Ulrich Burger; Chris Dougherty; Hermann Frommhold
Journal:  Lancet       Date:  2003-10-18       Impact factor: 79.321

8.  Continuing reassessment of the risks of erythropoiesis-stimulating agents in patients with cancer.

Authors:  Vinni Juneja; Patricia Keegan; Joseph E Gootenberg; Mark D Rothmann; Yuan Li Shen; Kyung Y Lee; Karen D Weiss; Richard Pazdur
Journal:  Clin Cancer Res       Date:  2008-06-01       Impact factor: 12.531

9.  Darbepoetin alpha for the treatment of anemia in patients with active cancer not receiving chemotherapy or radiotherapy: results of a phase III, multicenter, randomized, double-blind, placebo-controlled study.

Authors:  Robert E Smith; Matti S Aapro; Heinz Ludwig; Tamás Pintér; Martin Smakal; Tudor E Ciuleanu; Li Chen; Tom Lillie; John A Glaspy
Journal:  J Clin Oncol       Date:  2008-01-28       Impact factor: 44.544

10.  Cancer- and chemotherapy-induced anemia.

Authors:  George M Rodgers; Pamela Sue Becker; Morey Blinder; David Cella; Asher Chanan-Khan; Charles Cleeland; Peter F Coccia; Benjamin Djulbegovic; Jeffrey A Gilreath; Eric H Kraut; Ursula A Matulonis; Michael M Millenson; Denise Reinke; Joseph Rosenthal; Rowena N Schwartz; Gerald Soff; Richard S Stein; Gordana Vlahovic; Alva B Weir
Journal:  J Natl Compr Canc Netw       Date:  2012-05       Impact factor: 11.908

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  10 in total

1.  Age-Associated Hematological Toxicity in Patients with Metastatic Castration-Resistant Prostate Cancer Treated with Docetaxel in Clinical Practice.

Authors:  Marie-Rose B S Crombag; Aurelia H M de Vries Schultink; Jacobine G C van Doremalen; Hans-Martin Otten; Andries M Bergman; Jan H M Schellens; Jos H Beijnen; Alwin D R Huitema
Journal:  Drugs Aging       Date:  2019-04       Impact factor: 3.923

2.  Safety of Marketed Cancer Supportive Care Biosimilars in the US: A Disproportionality Analysis Using the Food and Drug Administration Adverse Event Reporting System (FAERS) Database.

Authors:  Kaniz Afroz Tanni; Cong Bang Truong; Sura Almahasis; Jingjing Qian
Journal:  BioDrugs       Date:  2021-01-13       Impact factor: 5.807

3.  Prognostic impact of preoperative anemia on non-muscle-invasive bladder carcinoma treated with GreenLight laser vaporization.

Authors:  Fei Luo; Ya-Shen Wang; Yan-Hui Su; Zhi-Hua Zhang; Hong-Hong Sun; Jian Li
Journal:  Lasers Med Sci       Date:  2016-12-24       Impact factor: 3.161

Review 4.  [Iron deficiency : Recognition and treatment].

Authors:  S von Haehling; H Ottenjann; S D Anker
Journal:  Internist (Berl)       Date:  2017-06       Impact factor: 0.743

Review 5.  Iron imbalance in cancer: Intersection of deficiency and overload.

Authors:  Tulika Basak; Rupinder Kaur Kanwar
Journal:  Cancer Med       Date:  2022-04-22       Impact factor: 4.711

6.  Evaluation of Iron Status in Patients of Solid Organ Malignancies: Study from a Cancer Research Centre.

Authors:  Deepak Sundriyal; Priya P Nayak; Lima Arya; Meenu Walia; Rajat Saha
Journal:  Indian J Surg Oncol       Date:  2019-11-08

7.  Prevalence and Associated Factors of Anemia among Breast Cancer Patients Undergoing Chemotherapy: A Prospective Study.

Authors:  Fares M S Muthanna; Mahmathi Karuppannan; Egbal Abdulrahman; Suriyon Uitrakul; Bassam Abdul Hassan Rasool; Ali Haider Mohammed
Journal:  Adv Pharmacol Pharm Sci       Date:  2022-04-14

Review 8.  Erythropoiesis-Stimulating Agents in the Management of Anemia in Chronic Kidney Disease or Cancer: A Historical Perspective.

Authors:  Matti Aapro; Pere Gascón; Kashyap Patel; George M Rodgers; Selwyn Fung; Luiz H Arantes; Jay Wish
Journal:  Front Pharmacol       Date:  2019-01-09       Impact factor: 5.810

9.  Ferric Carboxymaltose in the treatment of chemotherapy-induced anaemia: an effective, safe and cost- sparing alternative to blood transfusion.

Authors:  Joana Marinho; Inês Leão; Sandra Custódio; Enrique Dias; António Moreira Pinto; Telma Costa; Andreia Capela; Margarida Dias; Henrique Coelho; Ângela Cunha; Ana Macedo; Anabela Amarelo; Ana Joaquim
Journal:  Sci Rep       Date:  2019-12-31       Impact factor: 4.379

10.  An Applicable Inflammation-Joined and Nutrition-Related Prognostic Indicator in Patients With Colorectal Cancer.

Authors:  Guo Wu; Jungang Liu; Haizhou Liu; Lan Jin; Xiaoliang Huang; Xianwei Mo; Huage Zhong; Yanhua Li; Yawei Zhang; Weizhong Tang
Journal:  Front Oncol       Date:  2021-06-17       Impact factor: 6.244

  10 in total

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