Literature DB >> 33888658

Pre-transplant Dementia is Associated with Poor Survival After Hematopoietic Stem Cell Transplantation: A Nationwide Cohort Study with Propensity Score Matched Control.

Sheng-Min Wang1, Sung-Soo Park2, See Hyun Park3, Nak-Young Kim1, Dong Woo Kang4, Hae-Ran Na1, Young-Yi Bae2, Jong Wook Lee2, Seunghoon Han3, Hyun Kook Lim1.   

Abstract

OBJECTIVE: No previous study examined impact of dementia in the outcome of allogeneic hematopoietic stem cell transplantation (HSCT). We aimed to investigate overall survival (OS) of patients with dementia after receiving HSCT.
METHODS: Among 8,230 patients who underwent HSCT between 2002 and 2018, 5,533 patients younger than 50 years were first excluded. Remaining patients were divided into those who were and were not diagnosed with dementia before HSCT (dementia group: n = 31; no dementia: n = 2,666). Thereafter, among 2,666 participants without dementia, 93 patients were selected via propensity-matched score as non-dementia group. Patients were followed from the day they received HSCT to the occurrence of death or the last follow-up day (December 31, 2018), whichever came first.
RESULTS: With median follow-up of 621 days for dementia group and 654 days for non-dementia group, 2 year-OS of dementia group was lower than that of non-dementia group (53.3% [95% confidence interval, 95% CI, 59.0-80.2%] vs. 68.8% [95% CI, 38.0-68.2%], p = 0.076). In multivariate analysis, dementia had significant impacts on OS (hazard risk = 2.539, 95% CI, 1.166-4.771, p = 0.017).
CONCLUSION: Our results indicated that patients diagnosed with dementia before HSCT have 2.539 times higher risk of mortality after transplantation than those not having dementia. With number of elderly needing HSCT is increasing, further work to establish treatment guidelines for the management of HSCT in people with dementia is needed.

Entities:  

Keywords:  Dementia; Hematopoietic stem cell transplantation.; Survival; Treatment

Year:  2021        PMID: 33888658      PMCID: PMC8077055          DOI: 10.9758/cpn.2021.19.2.294

Source DB:  PubMed          Journal:  Clin Psychopharmacol Neurosci        ISSN: 1738-1088            Impact factor:   2.582


INTRODUCTION

Allogeneic hematopoietic stem cell transplantation (HSCT) provides life-prolonging or curative therapy for critical hematologic disorders, but it is a highly aggressive and demanding therapy with a significant risk of mortality [1,2]. Given the high transplant-related morbidity and mortality, HSCT was initially restricted to younger patients and was not indicated in patients older than 55 years of age [3]. However, incidence of most hematologic malignancies needing HSCT increases with age, and number of elderly needing HSCT have also increased with the aging of the population [4,5]. Moreover, recent advances in post-transplantation care and less toxic protocol such as reduced-intensity conditioning and nonmyeloa-blative conditioning regimens have expedited utilization of HSCT in elderly patients [6,7]. Numerous studies already demonstrated that HSCT is associated with worse neurocognitive performance [8,9]. It is generally known that large proportion of patients, ranging from 12−89%, develop cognitive impairments even before receiving HSCT [10]. This risk is known to be particularly higher in elderly because chronic and malignant hematologic disorders and their treatments are speculated to accelerate cognitive aging [11,12]. Thus, joint recommendation of European and American groups specifically suggested that neurocognitive function should be assessed before and 1 year after HSCT [13]. Neurocognitive dysfunction is suspected to have negative impacts in early and late post-HSCT course. Thus, it has emerged as a major cause for post-transplant morbidity and mortality [14]. Once cognitive decline persists and aggravates, it can progress to dementia which is characterized as cognitive decline accompanied with deterioration in behavior and the ability to perform everyday activities [15-17]. Despite this importance, most studies endeavored to clarify whether cognitive function improved, declined, or remained stable after HSCT. In contrast, to the best of our knowledge, no previous study has specifically examined impact of cognitive decline or dementia in the survival outcome after HSCT. Only one study showed that chemotherapy for acute myeloid leukemia had to be stopped in patients with dementia because of adverse effects such as behavioral and psychological symptoms of dementia (BPSD) [18]. However, among 31 patients only 7 patients had Alzheimer’s disease, and the aim was to investigate clinical course of patients receiving chemotherapy rather than HSCT. To fill this gap, we aimed to investigate treatment outcome of patients with neurocognitive dysfunction after receiving HSCT. Neurocognitive dysfunction covers wide range of clinical syndrome from subjective cognitive decline, mild cognitive impairment, and to dementia [19]. Among diverse conditions, dementia represents a more conservative and distinct group of patients identified with clinically significant cognitive decline along with functional disability due to cognitive dysfunction [20]. Considering its detrimental condition, number of patients with dementia receiving HSCT is scarce. Thus, we conducted a nationwide longitudinal cohort study and investigated impact of pre-transplant dementia in the survival outcome after HSCT.

METHODS

Data Source

This study used data from Korea National Health Insurance Sharing Service (KNHISS, https://nhiss.nhis.or.kr/bd/ab/bdaba000eng.do). The Korean National Health Insurance Service (KNHIS), a compulsory public health insurance system of South Korea (hereafter “Korea”), provides universal coverage to all residents of Korea [21]. The KNHIS operates and manages KNHISS, in a form of National Health Information Database, which consists of healthcare data including health screening results, sociodemographic variables, and mortality for the whole Korean population. The data also contain all medical claims for the population covered under the KNHIS. Thus, almost all HSCTs conducted in Korea are included in this database. The database has been widely used in various epidemiological studies and is described in detail elsewhere [22,23].

Study Cohort

Patient selection for this study is summarized in Figure 1. We first identified a total of 8,230 patients who underwent HSCT between 2002 and 2018 using KNHIS database procedure codes X5061 for bone marrow and X5063 for peripheral blood HSCT. We first excluded 5,533 patients who were younger than 50 years. The remaining 2,697 patients were divided into those who were and were not diagnosed with dementia before HSCT (dementia group: n = 31; no dementia: n = 2,666). Thereafter, among 2,666 patients without dementia, 93 patients were selected as a matched control group (non-dementia group).
Fig. 1

Flow chart depicting creation of study cohorts.

Outcome Variable and Covariates

The primary endpoint of this study was overall survival (OS) difference after HSCT according to pre-transplant dementia history. In order to utilize more conservative definition of dementia, patients who visited hospital due to International Classification of Diseases (ICD)-10 code of dementia (F00x, F01x, F02x, F03x, G30x, F051x, or G311x) were defined as having pre-transplant dementia. Demo-graphic and clinical characteristics based on HSCT-specific comorbidity index [24], which are available at KNHIS database, such as age, sex, baseline hematologic disease, previous non-hematologic or solid tumor, hypertension, diabetes, dyslipidemia, chronic obstructive pulmonary disease, cerebro- or cardiovascular disease, smoking, and social income were included as covariates.

Propensity Matching

In order to account for non-random treatment allocation, we used propensity score to select matched patients among 2,666 patients who were not diagnosed with dementia before HSCT. Propensity score adjustment enables the researcher to account for comparability between groups by balancing the distribution of biases and confounders [25]. Thus, it is one of the strongest methods to balance measured covariates for groups before analysis [26]. We first collected baseline characteristics of all 31 patients from the dementia group based on HSCT-specific comorbidity index (Supplementary Table 1; available online) [24]. Thereafter, the propensity was estimated for each participant in the dementia group using a multivariate unconditional logistic regression model. Next, using nearest neighbor matching, each patient in the dementia group were paired with a patient from the non-dementia cohort with the closest propensity score [27]. Age, sex, baseline hematologic disease, previous non-hematologic or solid tumor, hypertension, diabetes, dyslipidemia, chronic obstructive pulmonary disease, cerebro- or cardiovascular disease, smoking, and social income were all included as covariates, and matching ratio was 1:3 for each dementia-non-dementia group pair yielded total of 93 patients in the non-dementia group. In terms of caliper width, which is allowable amount of deviation in scores among matches, we set it as 0 of the logit of the propensity score, which was possible because of large cohort size [28].

Statistical Analysis

Difference between the two groups (dementia group and non-dementia group) in baseline demographic and clinical characteristics were compared using Student’s ttest for continuous and chi-squared test for categorical variables. Retrospective cohorts were followed from the day they received HSCT to the occurrence of death or the last follow-up day (December 31, 2018), whichever came first. The OS rate represents the proportion of patients who were alive at a certain time after the date of transplantation and was associated with death due to any cause. OS rates were calculated using the Kaplan-Meier method and compared using the log-rank test. Variables with p < 0.01 in univariate analyses were entered into multivariate models with an exception for baseline age (50−59 years, 60−69 years, and above 70 years old). Finally, variables with p < 0.1 and baseline age (regardless of its p value) were included in multivariate Cox models of OS, using a backward stepwise model selection. For all statistical analysis, we used R statistical software (ver. 3.6.1; R Foundation for Statistical Computing, Vienna, Austria; 2019-07-05).

RESULTS

Details of clinical characteristics of each patient in dementia group are presented in Supplementary Table 1 (available online). There were 13 patients (41.9%) who received HSCT due to hematologic malignancies such as leukemia, lymphoma, multiple myeloma whereas 18 patients (58.1%) received HSCT due to non-malignant hematologic disease including aplastic anemia and myelodysplastic syndrome. After matching propensity score of the dementia group with that of the non-dementia group, the baseline patient characteristics were comparable between dementia group and non-dementia group (Table 1). With median follow-up of 621 days (range, 1−3,733) for dementia group and 654 days (range, 17−5,503) for non-dementia group, 2 year-OS of dementia group was lower than that of non-dementia group (53.3% [95% confidence interval, 95% CI, 59.0−80.2%] vs. 68.8% [95% CI, 38.0−68.2%], p = 0.076] (Fig. 2).
Table 1

Baseline characteristics of patients after propensity score matching

VariablesStatus of dementia

Yes (n = 31)No (n = 93) pvalue
Median age at transplant (range, yr)0.946
50−5911 (35.5)32 (34.4)
60−6911 (35.5)36 (38.7)
≥ 709 (29.0)25 (26.9)
Sex0.999
Male12 (38.7)38 (40.9)
Hematologic disease0.917
Malignant hematology disease13 (41.9)42 (45.2)
Non-malignant hematology disease18 (58.1)51 (54.8)
Previous solid tumor0.999
No23 (74.2)68 (73.1)
Yes8 (25.5)25 (26.9)
Hypertension0.446
No13 (41.9)30 (32.3)
Yes18 (58.1)63 (67.7)
Diabetes0.916
No13 (41.9)36 (38.7)
Yes18 (58.1)57 (61.3)
Dyslipidemia0.628
No9 (29.0)21 (22.6)
Yes22 (71.0)72 (77.4)
Chronic obstructive pulmonary disease0.673
No28 (90.3)88 (94.6)
Yes3 (9.7)5 (5.4)
Cerebro- or cardiovascular disease0.999
No28 (90.3)82 (88.2)
Yes3 (9.7)11 (11.8)
Smoking0.459
No22 (71.0)72 (77.4)
Yes3 (9.7)11 (11.8)
Missing6 (19.4)10 (10.8)
Social income0.964
High13 (41.9)40 (43.0)
Intermediate5 (16.1)18 (19.4)
Intermediate to low6 (19.4)13 (14.0)
Low5 (16.1)16 (17.2)
Missing2 (6.5)6 (6.5)

Values are presented as number (%).

Fig. 2

Overall survival outcome difference between dementia and non-dementia group.

Univariate analysis identified that sex, hematologic disease, dementia, and smoking status were potential factors associated with OS (Table 2). In multivariate analysis using potential variables derived from univariate analysis and age, we observed that dementia had significant impacts on OS (hazard risk [HR] = 2.539, 95% CI, 1.166−4.771, p = 0.017). Other factors including male (HR = 2.111, 95% CI, 1.048−4.252, p = 0.037) and malignant hematologic disease (HR = 2.493, 95% CI, 1.044−5.959, p = 0.04) were also significant factors associated with poor OS whereas smoking lost their statistical significances (Table 3).
Table 2

Univariate analysis of factors affecting overall survival of HSCT

VariablePatient (n = 124)OS at 2 years (95% CI) pvalue
Age (yr)0.399
50−594364.0% (49.9−82.2%)
60−694759.8% (45.9−78.0%)
≥ 703474.2% (60.2−91.4%)
Sex0.007
Female7476.5% (66.6−87.8%)
Male5049.2% (36.0−67.2%)
Hematologic disease0.006
Non-malignant hematologic disease6976.4% (66.2−88.2%)
Malignant hematologic disease5550.9% (38.0−68.2%)
Dementia0.076
No9368.8% (59.0−80.2%)
Yes3155.3% (39.7−77.0%)
Previous solid tumor0.241
No9168.7% (59.1−79.9%)
Yes3354.6% (38.0−78.5%)
Hypertension0.242
No4358.8% (44.5−77.7%)
Yes8168.6% (58.4−80.6%)
Diabetes0.601
No4968.7% (56.2−83.9%)
Yes7562.7% (51.5−76.5%)
Dyslipidemia0.568
No3067.3% (50.9−89.1%)
Yes9464.8% (55.1−76.3%)
Chronic obstructive pulmonary disease0.503
No11665.9% (57.1−76.1%)
Yes856.2% (28.1−100%)
Cerebro- or cardiovascular disease0.235
No11068.1% (59.3−78.2%)
Yes1439.3% (17.4−89.1%)
Smoking0.014
No9467.3% (57.5−78.7%)
Yes1434.1% (14.8−78.4%)
Missing16-
Social income0.526
High to intermediate7669.2% (59.0−81.3%)
Intermediate-low to low4057.6% (42.7−77.6%)
Missing8-

HSCT, allogeneic hematopoietic stem cell transplantation; OS, overall survival; CI, confidence interval; -, not available.

Table 3

Multivariate analysis of factors affecting overall survival of HSCT

VariableHazard ratio (95% CI) pvalue
Age (yr)
55−591
60−691.893 (0.881−4.069)0.102
≥ 702.18 (0.669−7.109)0.196
Sex
Female1
Male2.111 (1.048−4.252)0.037*
Hematologic disease
Non-malignant hematologic disease1
Malignant hematologic disease2.493 (1.044−5.959)0.040*
Dementia
No1
Yes2.539 (1.166−4.771)0.017*
Smoking
No1
Yes1.927 (0.826−4.5)0.129

HSCT, allogeneic hematopoietic stem cell transplantation; CI, confi-dence interval.

*p < 0.05.

DISCUSSION

To our knowledge, this is the first study examining the associations between pre-transplant dementia and survival outcome in patients receiving HSCT. We compared patients who were diagnosed with dementia before HSCT with those propensity score-matched patients and analyzed their survival outcome. Our study showed that patient diagnosed with dementia have 2.539 times higher risk of mortality. The hazard risk of malignant hematologic disease over non-malignant hematologic disease was found to be around 2.5, which is in line with previous studies suggesting disease risk as 2.31−3.41 [29]. In this perspective, we showed that the pre-transplantation dementia have similar negative impact on post-transplant survival with that of malignant hematologic disorders. It is unclear how pre-HSCT dementia could affect mortality after transplantation. Patients with dementia have a shorter life expectancy than those without dementia [30,31]. A longitudinal study showed that patient with mild and moderate dementia have 2.23−3.10 times higher risk of mortality than those without dementia [32]. Thus, the higher post-transplantation mortality could be factors independent of HSCT such as dementia itself. Neurocognitive dysfunction is associated with more toxic pretransplant chemotherapy and severe disease state [33]. Thus, patients who developed dementia before HSCT might already had higher disease burden or worse general medical condition, which resulted in poor treatment outcome. Aggressive cytotoxic therapies are reported to exacerbate BPSD including delirium [18], which might have caused decrement in quality of life and survival rate [33]. Likewise dementia is known to decrease activities of daily living and performance status [34-36], which are important risk factors of post-HSCT morality [37]. In terms biochemical mechanism, immune dysregulation might be an important link [38]. Studies showed that it can take up to 2 years after HSCT for complete reconstitution of CD4+ T cells [39]. Dementia is associated with the involution of the thymus, which result in a dramatic decrease in the production of new T cells [40,41]. Thus, patients with dementia might have higher risk of morbid infections. The immunological manifestation is more predominant in Alzheimer’s disease, so this immunology hypothesis may not be directly applicable to other types of dementia. In the other perspective, patients with dementia including Alzheimer’s disease, vascular dementia, and Lewy body disease are known to have increased risk of developing cerebrovascular and respiratory disease [42-44], which are two important negative prognostic factors of HSCT [24]. However, prospective studies investigating common pathway are needed to elucidate exact pathophysiological basis of association between pre-transplant dementia and post-HSCT mortality. Interestingly, the longer-term survival (i.e., OS at 3 to 5-year) did not significantly differ between dementia group and non-dementia group. Once again, we can only speculate the reasons. First of all, after early treatment course, the risk from disease relapse and transplantation- related mortality might have out-weighted that of dementia. Second, all patients included in our study were elderly. Thus, age-related comorbidity and mortality might also be an important contributing factor. Previous studies showed that people treated for cancer who have a pre-existing dementia tended to receive less necessary medical attention including later diagnosis and less treatment [45,46]. In this perspective, further work is needed to establish guidelines for the management of HSCT in people with dementia. Our study has other strengths. Dementia is known to be associated with poor performance, so it is clinically difficult to undertake HSCT in patients with dementia. Finding and recruiting appropriate control and creating a study cohort is even more complicated. Despite this rarity and complexity, we were able to include 31 elderly patients who were diagnosed with dementia before HSCT. We conducted a nationwide cohort study and first included all patients who received HSCT from 2002 to 2018 and then selected patients who were diagnosed with dementia before transplantation. By doing so, we were also able to prevent selection bias and recruitment setting effect. We used propensity score matching via multivariate methods for control group creation, which is an advanced method in accounting for non-random allocation to transplant related mortality risk factors and the associated confounding variables [47]. This was possible only after a very careful characterization of the dementia cohort. The limitation should also be noted when interpreting our findings. Dementia occurrence was based on clinical diagnosis with ICD-10 codes rather than on strict diagnosis using objective cognitive test results. In addition, we were unable to include biomarkers reflecting amyloid burden, tau pathology, and neuronal damage. Therefore, the diagnostic reliability might be an important issue. However, all 31 patients visited hospital due to ICD-10 codes for dementia. Regardless of diagnostic validity, our cohort represents patients having cognitive decline with functional abnormality, which is more than appropriate to investigate negative impact of cognitive dysfunction in survival outcome after HSCT. Other important risk factors such as type of pretransplant chemotherapy, details of procedures for HSCT including pretreatment process of HSCT, use of immuno-suppressive agents, and presence/ severity of GVHD were not included as part of covariates. In addition, infection before and after HSCT is one of the most important prognostic factors [24], but we were not able to include this in our analysis. Likewise, the cause of death and disease relapse according to dementia were not investigated. Additional prospective studies including above prognostic factors are needed to elucidate exact risk of dementia in survival after HSCT. In conclusion, we showed that patients who were diagnosed with dementia before HSCT have higher risk of mortality after transplantation than those not having dementia. In our cohort, the hazard risk of dementia was similar to that of malignant hematologic disease. Prospective studies are needed to confirm negative impact of dementia in HSCT outcome and to elaborate their pathophysiological basis. With number of elderly needing HSCT is increasing, further work to establish treatment guidelines for the management of HSCT in people with dementia is urgently needed.
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