Clinical Phenotype and Response to Different Lines of Therapy in Elderly with Immune Thrombocytopenia: A Retrospective Study.

PURPOSE: Insufficient knowledge of primary immune thrombocytopenia purpura (ITP) in the elderly, together with a lack of clinical trial data, has resulted in wide variation in treatments. Here, we present a study focused on clinical characteristics of ITP in older subjects at diagnosis integrated with the subsequent course of the disease and treatment history.
METHODS: In a retrospective monoinstitutional study, we evaluated >65-year-old patients with primary ITP. Clinical characteristics at the time of diagnosis were described and analyzed. We aimed to delineate whether subsequent lines of therapy influenced the number of relapses. In addition to initial regimens, we reported subsequent treatments and the impact on relapse trends.
RESULTS: A total of 50 patients (56% males, mean age 78 years) were included. With regard to clinical variables at diagnosis, statistical significance was found for Eastern Cooperative Oncology Group performance status 1 (46% of patients, p<0.0001), presence of three comorbidities (36% of patients, p<0.0001), World Health Organization grade 0 bleeding (46%, p=0.0001), and World Health Organization grade 1 bleeding (42%, p=0.0009). For bleeding sites, the most frequent were skin or mucosa (40%, p=0.0477). A decrease in platelet count was correlated with moderate or severe bleeding (ρ=-0.52, p=0.0001) and viscera or skin/mucosa + viscera site (ρ=-0.50, p=0.0002). Finally, a decreasing number of patients required treatment from first-line therapy to sixth (p<0.0001). Relapse was most frequent before second-line therapy (54%, p<0.0001) and less frequent before fivth and sixth (4%, p=0.0072; 2%, p=0.0027).
CONCLUSION: ITP in older age poses considerable challenges, so specific management strategies should be considered to optimize outcomes. Our findings provide evidence of an inverse relationship between lines of therapy and timing of relapses. This study does not exclude the possibility that agents used after first-line therapy may have an impact on the response and modify the unfavorable course of ITP.

Introduction

Immune thrombocytopenia purpura (ITP) is an autoimmune bleeding disorder of increased platelet destruction and decreased platelet production that affects both children and adults.1 ITP in adults is quite distinct in its underlying cause and manifestation compared to its pediatric form.2,3 In addition, ITP in adults is a fairly heterogeneous disorder with clinical features that are influenced by many factors, including age.4,5 ITP in the elderly can be considered a special scenario in which studies are lacking, diagnosis challenging, and management may be difficult, due to potential comorbidities, concomitant medications, and severity of bleeding.6 ITP in older adults is more common than previously recognized, and in contrast to the most frequent autoimmune disease,7 the incidence of ITP increases with age. According to bimodal incidence, a second peak is observed in adults >60 years of age, reaching the greatest number of cases in men aged >75 years.8 With growth of the older population, ITP in the elderly is becoming increasingly important and is one of the most common benign hematological diseases related to aging.9 ITP is unpredictable in its clinical course. Therefore, the management of the disease is not based on well-established policies. The emphasis is toward treating bleeding, but also platelet counts, and considering the side effects of different therapeutic options.10,11

The greatest advance in ITP treatment during the last decade has been the development of thrombopoietin-receptor agonists (Tpo-RAs). Besides encouraging efficacy rates in all patients, a significant benefit of Tpo-RAs is their favorable safety profile that avoids immunosuppression.12,13 They appear to offer many advantages over other drugs in current use, especially in the older population.14,15 However, within the context of clinical practice, potential limitations in selecting a treatment are represented by current gaps in knowledge of the management of persistent or chronic ITP.

Despite significant advances in our understanding of this condition, the natural history of ITP in aged patients has not been systematically studied, especially in relation to treatments used initially and those used at later stages of the disease. Therefore, we aimed to study clinical features, bleeding phenotype, management, and outcomes in elderly patients at the time of ITP diagnosis. Moreover, by focusing on subsequent follow-up, we attempted to determine the number of relapses and consecutive therapeutic options.

Methods

Population

In this longitudinal cohort study, adult patients >65 years old with ITP were analyzed. ITP was established according to published guidelines.16,17 Subjects were ineligible for the study if they had secondary ITP or any evidence of bone-marrow deficiency. To rule out conditions that may be associated with autoimmune thrombocytopenia, basic evaluations for infections (HIV, HCV, HBV, H. pylori), autoimmune disorders, malignancy (eg, lymphoproliferative disorder) were carried out. Bone-marrow diseases were excluded through targeted diagnostic procedures. Data of 50 consecutive patients diagnosed and treated from 2007 to 2017 and observed for median follow-up of 461 (95% CI 201.8–733.9) days at the Hematology Division of the University of Palermo were collected through an electronic database. For disease assessment and classification of ITP by thrombocytopenia duration, an international working group’s recommendations were used.16 Relapse was defined as platelet count <30,000 or requiring rescue therapy after previous treatment.

At baseline, demographics, Eastern Cooperative Oncology Group (ECOG) performance status, occurrence of bleeding at diagnosis, bleeding degree by World Health Organization score,18 and anatomic sites of bleeding (skin, mucosal surfaces, internal organs)19 were evaluated. Also, we considered antiplatelet- or anticoagulant-drug intake, presence, nature, and severity of comorbidities as per the Cumulative Illness Rating Scale (CIRS),20 and hospital admissions for decreased platelet count. The criterion for starting treatment was platelet counts <50×109/L. Additional analyses were related to therapy response, number of relapses with subsequent lines of therapy, and trend of disease evolution during follow-up. This study was conducted in accordance with the Declaration of Helsinki and approved by the Palermo 1 Ethics Commission from P Giaccone Policlinico(approval 5/18).

Statistical Analysis

Statistical analysis was performed with MatLab statistical toolbox version 2008 (MathWorks, Natick, MA, USA) for Windows (32-bit). Data are presented as numbers and percentages for categorical variables and continuous data expressed as means ± SD, unless otherwise specified. Multiple-comparison χ2 tests were used to define significant differences among percentages if χ2 was positive (p<0.05), then residual analysis with the Z-test to locate the highest or lowest significant presence was performed.

Friedman’s ANOVA was used for multiple comparisons among three or more means, when the same parameter was measured under different conditions on the same subjects, and under conditions where the distribution of variables was not normal. When Friedman’s ANOVA was positive (p<0.05), post hoc testing on pairwise comparisons was performed. Correlation analysis was performed to evaluate significant relationships between two variables. In this case, we used Spearman’s ρ rank-correlation coefficient, because the distribution of variables was not normal. The hypothesis that the distribution of the observations in the sample was normal was assessed with the Kolmogorov–Smirnov test. In particular, we investigated the relationship between platelet count (dependent variable) and bleeding degree at diagnosis and bleeding site at diagnosis (independent variables), considering for them the following scales:

bleeding degree at diagnosis: 0 = none (grade 0), 1 = grade 1, 2 = grade 2, 3 = grade 3, 4 = grade 4.

bleeding site at diagnosis: 0 = no location, 1 = skin or muscle, 2 = viscera, 3 = skin or muscle and viscera.

In addition, we investigated the relationship between severity of bleeding episodes (dependent variable) and antiplatelet and anticoagulant treatments (independent variable), assigning values for antiplatelet and anticoagulant treatments of 0 = no and 1 = yes. Finally, p<0.05 was considered significant.

Results

In Table 1, baseline demographics and disease characteristics of the ITP study group are shown. As can be seen, 50 consecutive patients were analyzed: 56% (28 of 50) males and 44% (22 of 50) females, with mean age of 74.86±6 (66–97years. Mean value of platelets was 21.48±22.27×109/L. Due to contemporary medical issues, hospitalization became necessary for most patients (68%) at the time of diagnosis. In Table 2, reasons for hospitalization are reported. In two cases, the reason was platelet count<50×109/L. In all other cases, there was at least one other concurrent problem that complicated the clinical picture. However, functional status showed better ECOG performance scores, with ECOG 0 in 26% and ECOG 1 in 46% of cases, and only 18% and 82% with ECOG 2, ECOG 3, and ECOG 4, respectively. In regard to bleeding phenotype, slightly more than half the patients (56%, 27 of 50) suffered from bleeding, with a tendency toward a low degree (42% of grade 1). Only 6% of patients had mild bleeding (grade 2) and in the remaining 6% severe bleeding occurred (grade 3). In cases of bleeding, the sites involved were mainly skin and/or mucosa (40%). Other sites were viscera (4%) and skin/mucosal + viscera in 10% of patients. Only 13 of 50 (26%) patients were on antiplatelet agents and/or anticoagulants. Finally, the majority of patients had one or more comorbidities and just 4% had none, while 20% had one comorbidity, 24% had two, 36% had three, 12% had four, and 4% had six.

Table 1

Characteristics of the Patients at the Diagnosis

	Mean±SD/Percentage
Age (years)	74.86±6.29
Sex (male)	56% (28/50)
Hospitalization (yes)	68% (34/50)
General clinical condition (ECOG scale) ECOG 0 ECOG 1 ECOG 2 ECOG 3 ECOG 4	26% (13/50) 46% (23/50) 18% (9/50) 8% (4/50) 2% (1/50)
Platelets × 109/L (at diagnosis)	21.48±22.27
Bleeding at diagnosis (yes)	54% (27/50)
Bleeding degree (WHO scale) Grade 0 Grade 1 Grade 2 Grade 3 Grade 4	46% (23/50)42% (21/50)6% (3/50)6% (3/50)0
Bleeding site None Skin, mucosa Viscera Skin/mucosa + viscera	46% (23/50)40% (20/50)4% (2/50)10% (5/50)
Antiplatelet/anticoagulant therapy Data missing Yes No	2% (1/50)26% (13/50)72% (36/50)
Number of comorbidities None One Two Three Four Five Six	4% (2/50)20% (10/50)24% (12/50)36% (18/50)12% (6/50)04% (2/50)

Table 2

Reasons for Hospitalization

	% (n)
Low platelet count (<50×109/L)	5.88% (2/34)
Low platelet count, antiplatelet agents and/or anticoagulant	2.94% (1/34)
Low platelet count and comorbidities	14.71% (5/34)
Low platelet count and bleeding	20.59% (7/34)
Low platelet count, bleeding, and comorbidities	17.65% (6/34)
Low platelet count, bleeding, comorbidities, antiplatelets and/or anticoagulant	14.71% (5/34)
Low platelet count, comorbidities, antiplatelets and/or anticoagulant	8.82% (3/34)
Low platelet count, ECOG 3, bleeding, comorbidities, antiplatelets and/or anticoagulant	5.88% (2/34)
Low platelet count, ECOG 3, bleeding, and comorbidities	2.94% (1/34)
Low platelet count and ECOG 3	2.94% (1/34)
Low platelet count, bleeding, antiplatelets and/or anticoagulant	2.94% (1/34)
Total	68% (34/50)

In Table 3 types of comorbidities are reported. From a total of 124 diseases, 48 (38%) were cardiovascular, five (4%) respiratory, 29 (23.4%) endocrinometabolic, 14 (11.3%) renal and genitourinary, nine (7.3%) musculo skeletal, 12 (9.6%) gastrointestinal and hepatic, four (3.2%) neurological and ocular, and three (2.4%) psychiatric. The CIRS comorbidity score was 1.52±0.74. It should be noted that at the time of diagnosis, one patient had had a pulmonary embolism and another deep-vein thrombosis.

Table 3

Comorbidities in Elderly ITP Patients at Diagnosis (n=124)

	% (n)
Cardiovascular	38.7 (48/124)
Arterial hypertension	60.4 (29/48)
Atrial fibrillation	22.9 (11/48)
Other arrhythmias	2.1 (1/48)
Coronary heart disease	4.2 (2/48)
Dilated cardiomyopathy	4.2 (2/48)
Pulmonary embolism	2.1 (1/48)
Deep-vein thrombosis	2.1 (1/48)
Cerebro vascular malformation	2.1 (1/48)
Respiratory	4.0 (5/124)
COPD	60.0 (3/5)
OSAS	40.0 (2/5)
Endocrine–metabolic	23.4 (29/124)
Diabetes mellitus	48.3 (14/29)
Hypercholesterolemia	20.7 (6/29)
Obesity	13.8 (4/29)
Thyroid diseases	13.8 (4/29)
Secondary hyperparathyroidism	3.4 (1/29)
Kidney and genitourinary	11.3 (14/124)
CKD	28.6 (4/14)
Hydronephrosis	7.1 (1/14)
BPH	64.3 (9/14)
Muscular and skeletal	7.3 (9/124)
Osteoarthritis	55.6 (5/9)
Osteoporosis	44.4 (4/9)
Gastrointestinal and liver	9.6 (12/124)
Gastritis	33.3 (4/12)
Colon angiodysplasia	8.3 (1/12)
Gilbert syndrome	8.3 (1/12)
Liver steatosis	33.3 (4/12)
Biliary lithiasis	16.7 (2/12)
Nervous system and eye	3.2 (4/124)
Parkinson’s disease	50.0 (2/4)
Glaucoma	50.0 (2/4)
Psychiatric	2.4 (3/124)
Senile dementia	33.3 (1/3)
Depression	33.3 (1/3)
Affective disorder	33.3 (1/3)
CIRS comorbidity score (mean ± SD)	1.52±0.74

Abbreviations: COPD, chronic obstructive pulmonary disease; OSAS, obstructive sleep-apnea syndrome; CKD, chronic kidney disease; BPH, benign prostatic hypertrophy.

Table 4 shows the scores or percentages of the parameters considered for each therapy line. We reported on overall number of relapses, lines of therapy, and associated regimens. We included data up to a total of five consecutive relapses that needed therapy, but the rate of patients who had relapsed after previous treatment decreased over time (54% after the first line and 2% after the fourth line). Therapeutic options included corticosteroids (prednisone/prednisolone), intravenous immunoglobulin, rituximab, romiplostim, eltrombopag, cyclophosphamide, vincristine, and splenectomy. In some cases, further agents were added to the steroid or anti-CD20 backbone in an attempt to improve clinical outcomes.

Table 4

Parameters for Every Therapy Line

	First Line	Second Line	Third Line	Fourth Line	Fifth Line	Sixth Line
Mean age (years)	75.10±6.51	74.82±5.77	76.40±6.14	78.15±6.33	81.78±7.86	76.00±0.00
Therapy	94% (47/50)	54% (27/50)	28% (14/50)	12% (6/50)	4% (2/50)	2% (1/50)
Corticosteroids IVIG Corticosteroids + IVIG Rituximab Romiplostim Eltrombopag rituximab + Romiplostim Cyclophosphamide Vincristine Splenectomy	59.57% (28/47)040.43% (19/47)0000000	11.11% (3/27)0% (0/27)22.22% (6/27)14.81% (4/27)25.93% (7/27)7.41% (2/27)11.11% (3/27)3.70% (1/27)0% (0/27)3.70% (1/27)	14.29% (2/14)7.14% (1/14)21.43% (3/14)7.14% (1/14)14.29% (2/14)28.57% (4/14)007.14% (1/14)0	00033.33% (2/6)16.67% (1/6)16.67% (1/6)00033.33% (2/6)	0050% (1/2)50% (1/2)000000	0000100% (1/1)00000
Therapy respons Not applicable Yes No	6% (3/50)72.34% (34/47)27.66% (13/47)	46% (23/50)85.19% (23/27)14.81% (4/27)	72% (36/50)71.43% (10/14)28.57% (4/14)	88% (44/50)66.67% (4/6)33.33% (2/6)	96% (48/50)50% (1/2)50% (1/2)	98% (49/50)100% (1/1)0
	First–second line	Second– third line	Third–fourth line	Fourth–fifth line	Fifth–sixth line
Relapse time range between two consecutive therapies (days)	292.07±488.68	308.85±459.73	426.67±407.20	188.5±20.5	619±0
Relapse Not applicable Yes No	8% (4/50)54% (27/50)38% (19/50)	8% (4/50)28% (14/50)64% (32/50)	14% (7/50)12% (6/50)74% (37/50)	18% (9/50)4% (2/50)78% (39/50)	20% (10/50)2% (1/50)78% (39/50)

In Table 5, we report on the statistical tests performed. For general clinical condition (ECOG), the most frequent was state 1 (p<0.0001) and the least frequent state 4 (p=0.0027). For number of comorbidities, the most frequent was three (p<0.0001) and the least frequent five (p=0.0042). For bleeding degree according to World Health Organization score, the most frequent was no bleeding (grade 0) (p=0.0001) and grade 1 (p=0.0009), while less frequent were grades 2 and 3 and severe bleeding (p=0.0177 for both). Finally, for anatomic site of bleeding, the most frequent was none (p=0.0030), and skin/mucosa (p=0.0477), while less frequent were viscera (p=0.0019) and skin or mucosa + viscera (p=0.0237 for both).

Table 5

Statistical Analyses

Clinical Characteristics at Diagnosis	p-value (Test Type)
General clinical condition (ECOG)	<0.0001* (C)State 1**, p<0.0001 (Z)State 4***, p=0.0027 (Z)
Bleeding degree (WHO scale)	<0.0001* (C)Grade 0 (no bleeding)**, p<0.0001 (Z)Grade 1**, p=0.0009 (Z)Grade 2***, p=0.0177 (Z)Grade 3***, p=0.0177 (Z)Grade 4***, p=0.0009 (Z)
Bleeding sites	<0.0001* (C)No location**, p=0.0047 (Z)Skin/mucosal**, p=0.0477 (Z)Visceral***, p=0.0019 (Z)Skin/mucosal and visceral***, p=0.0237 (Z)
Number of comorbidities	<0.0001* (C)Three**, p<0.0001 (Z)Five***, p=0.0042 (Z)
Events related to therapyduring follow up	p-value (test type)
Relapse-time range (first–second, second–third, third–fourth)	0.55 (FA)
Therapy response (yes)	0.70 (C)
Trend among therapy lines: first–sixthTherapy (yes)	<0.0001* (Ct) (negative trend)
Trend among therapy lines: I–VITherapy response (yes)	0.878 (Ct)
Trend among therapy lines: first–sixthRelapse (yes)	<0.0001* (Ct) (negative trend)
Relapse (Yes)	<0.0001* (C)First–second therapy**, p<0.0001 (Z)Fourth–fifth therapy***, p=0.0072 (Z)5th – 6th therapy***, p=0.0027 (Z)
Linear correlation analysis	ρ, p-value
Platelet count–bleeding degree	−0.52, 0.0001*
Platelet count–bleeding site	−0.50, 0.0002*
Bleeding degree–antiplatelet–anticoagulant	0.19, 0.19

Notes:*Significant test;**Significant most frequent;***Significant less frequent

Abbreviations: FA, Friedman ANOVA; C, multicomparison χ2; Ct, χ2 for trend; ρ, Spearman’s coefficient of rank correlation.

There were no significant differences for relapse time–range or therapy-response variables among therapy lines one and two, two and three, and three and four (p=0.55, p=0.70, respectively). Time ranges for linesfour/five and five/six were not considered, because there were too few patients to perform statistical analysis. In addition, for the therapy variable (patient with therapy), there was a significant negative trend, ie, there was a decrease in the number of patients who needed first- to sixth-line therapy (p<0.0001). The same was observed for relapse (p<0.0001). Notably, relapse needing treatment was most frequent in relationship to second-line therapy (p<0.0001) and less frequent in relationship to fifth- and sixth-line therapy (p=0.0072, p=0.0027, respectively).

Correlation analysis was performed to evaluate possible relationships between platelet count and both bleeding degree and bleeding site. We found a significant negative correlation between platelet count and bleeding degree (R=−0.52, p=0.0001) and bleeding site (R=−0.50, p=0.0002). In other words, decreased Platelet count was correlated with moderate or severe bleeding at viscera or skin/mucosa + viscera. Finally, no significant correlation between bleeding degree and antiplatelet and anticoagulant treatments was observed (ρ=0.19, p=0.19).

Discussion

The aim of this work was to gain a more complete picture of ITP in older patients commonly seen in clinical practice. We described clinical characteristics and bleeding phenotype at onset of ITP in 50 consecutive patients older than 65 years. A slight male prevalence was observed, although it has been reported that women are more prone to autoimmune diseases than male. How important the role of sex is in developing ITP and achieving a response in older patients to date is not known.21 In this set of cases, low platelet count and associated risk of bleeding determined hospitalization for 68% of patients. On the basis of published data, hospitalization with ITP represents an economically and clinically important event and places a considerable burden on patients and society.22,23

Regarding comorbidity-data collection, 4% of subjects did not show any associated disease, and most were affected by one to three symptomatic diseases. The proportion of patients with more comorbidities was not statistically significant. The presence of comorbidities and the clinical consequences are the key difference between ITP in the elderly and ITP in younger patients. Therefore, therapeutic management must take into account more factors in older subjects, such as higher risk of bleeding and thrombosis, concomitant medications, and monitoring of side effects of drugs for ITP. Comorbidities are frequently considered in the context of an index disease (eg, a newly diagnosed cancer),24 but the question that has not yet been addressed concerns frailty in older ITP patients.25 Frailty could also be a strong clinical indicator of increased risk of poor outcomes in subjects free of multimorbidity.26

In line with previous publications, bleeding events at baseline were not severe in our study: 42% of cases showed a low degree of bleeding and 46% of cases had none. Sites of bleeding were mainly skin and mucosa in 40% of subjects.2 Despite variability in natural history and response to therapy suggesting that primary ITP is heterogeneous, severe episodes of bleeding are relatively rare. Therefore, protective factors are thought to play a role against bleeding.27 Moreover, autoimmune disorders in the elderly have unique clinical presentations, with insidious and atypical symptoms. They are generally milder than in younger adults and can be controlled by proper therapeutic treatment.28 Other main results of our study concern the impact of the sequence of different treatments on maintenance of remission or good clinical response. Of 50 patients, only 27 received a second line of therapy, and the number of subjects in subsequent lines progressively decreased.

Our data suggest that exposure to therapeutic options of subsequent therapy after the first or second line may be favorable for good outcomes during follow-up. No significant difference was observed in the efficacy of the different therapeutic choices. Clearly, the activity of intravenous immunoglobulin, rituximab, splenectomy, Tpo-RAsm and other immunosuppressive agents used in this study was based on different mechanisms of action. Nevertheless, the potential of these different therapeutic approaches to decrease relapse rates holds significant promise in prolonging the response of platelet count.29 Consequently, the hypothesis of considering in frontline therapy the use of drugs currently employed in subsequent lines of therapy must be considered.30 Some clinical trials have examined rituximab combination with high-dose dexamethasone.31,32 Choi et al33 tested low-dose rituximab, high-dose dexamethasone, and cyclosporine as frontline therapy for adults with ITP, with low incidence of relapse. Tpo-RAs have a good safety and efficacy profile and have become prominent drugs in this subset of patients, though long-term toxicity is unknown. Since the augmentation of thrombopoiesis is the key therapeutic target of Tpo-RAs, the lack of immunosuppressive effects of these agents provides a noteworthy treatment option for elderly ITP patients, possibly in the first line.34 Otherwise, intensive treatment of ITP in older patients through different lines of therapy may increase negative health outcomes, especially in frail subjects. In two independent studies, Tpo-mimetic drugs have been employed in newly diagnosed patients with ITP, with interesting preliminary data.35,36 However, neither trialfocused on elderly patients. Although our study addresses relevant aspects in a sample of elderly patients with primary ITP, our analyses are limited by the small sample. These data consequently represent exploratory measurements of outcome. However, the subjects in this study can represent the population of older ITP patients whose unmet clinical needs pose real challenges.

Conclusion

The relationship between aging and chronic diseases has become of interest for the hematological community. ITP of the elderly represents a new chapter in the field of immunogeriatrics, because the molecular framework induced by aging translates into increase prevalence of the disease in this specific age-group. The paper provides cues to help us set research priorities.

Firstly, it is necessary systematically to analyze exact underlying pathological mechanisms involved in ITP in older subjects. ITP is likely a constellation of diseases that needs to be stratified on the basis of sex and age. Secondly, a focus on detailed diagnostic workup to recognize true cases of primary ITP in the elderly is needed. In older age, various competing causes may lead to thrombocytopenia. In addition, secondary ITP is often multirefractory, with immunological mechanisms that differ from the common form of ITP.37

Because ITP in the elderly is often associated with other pathological states, further investigations are needed to evaluate whether ITP is a contributor or just correlated with them due to aging. Physiological changes in aging and age-related comorbidities can have implications for tolerance of disease and available treatments. To date, insufficient knowledge of ITP in older subsets of patients and lack of trial data have resulted in wide variation in treatment in practice.

Some drugs used after the first lines of therapy, such as Tpo-RAs, offer the most realistic chance of achieving long-term control of the disease. Our data encourage consideration of their incorporation into first-line therapy, in addition to sequencing in the resistant/relapse setting. Finally, improved comorbidity management and patient-centered care are the key to maximizing the benefits and minimizing the risks of treatment of aged ITP patients.