Literature DB >> 22003296

Galantamine treatment in Alzheimer's disease: response and long-term outcome in a routine clinical setting.

Asa K Wallin1, Carina Wattmo, Lennart Minthon.   

Abstract

BACKGROUND: In the absence of long-term, placebo-controlled studies of cholinesterase inhibitors in Alzheimer's disease (AD), analysis of the results of open-label trials becomes crucial. This study aimed to explore the three-year effects of galantamine treatment, as well as subgroups of response and adherence to treatment.
METHODS: Two hundred and eighty patients with a clinical diagnosis of AD were included in the prospective, open-label, multicenter Swedish Alzheimer Treatment Study, and received galantamine treatment. Efficacy measures included cognitive tests, ie, the Mini-Mental State Examination (MMSE) and Alzheimer's Disease Assessment Scale Cognitive Subscale (ADAS-cog), functional rating (Instrumental Activities of Daily Living Scale [IADL]), and global rating. Assessments were carried out before treatment and every six months for a period of three years. K-means cluster analysis was used to identify response subgroups.
RESULTS: After three years of treatment, the mean change from baseline was 2.6 points in MMSE and 5.6 points in ADAS-cog scores. Globally, half of the patients improved or remained unchanged for two years. Cluster analysis identified two response clusters. Cluster 1 included patients with low ability in ADAS-cog and IADL scores at baseline. Even though the patients in cluster 1 were older and less educated, they responded better at six months compared with patients in cluster 2. Cluster 2 included patients with better ADAS-cog and IADL scores at baseline. Patients in cluster 2 had a higher frequency of the APOE ɛ4 allele, a slower pretreatment progression rate, and remained in the study longer than those in cluster 1. Three-year completers (n = 129, 46%) received higher doses of galantamine compared with dropouts.
CONCLUSION: AD patients who received long-term galantamine treatment were cognitively and globally stabilized. Subgroup response analysis identified a better short-term response in older patients with lower cognitive and functional abilities at baseline, a faster pretreatment progression rate, and a lower incidence of the APOE ɛ4 allele. The galantamine dose was higher in the population of completers.

Entities:  

Keywords:  Alzheimer’s disease; cholinesterase inhibitor; completion rates; galantamine; k-means cluster analysis; long-term treatment; routine setting

Year:  2011        PMID: 22003296      PMCID: PMC3191869          DOI: 10.2147/NDT.S24196

Source DB:  PubMed          Journal:  Neuropsychiatr Dis Treat        ISSN: 1176-6328            Impact factor:   2.570


Introduction

Alzheimer’s disease (AD) is the major cause of dementia, and underlies more than 60% of dementia cases.1 The incidence and prevalence of AD increase with age.2 Reports of increasing life expectancy in developed countries3 indicate that AD will be one of the biggest health care challenges in the future. Without treatment, AD is characterized by a progressive and irreversible decline in cognitive and practical abilities, leading to major difficulties after only a few years of disease duration.4 In the 1990s, cholinesterase inhibitors (ChEIs) became the first drugs used to treat the symptoms of AD. ChEIs, which work by counteracting cholinergic deficits, and memantine, which inhibits glutamate overexpression, continue to be the drugs available for the treatment of AD.5 The second-generation ChEIs include donepezil, rivastigmine, and galantamine. Galantamine, which is a competitive and rapidly reversible inhibitor of acetylcholinesterase and an allosteric modulator of nicotine receptors,6 gained approval in Sweden in 2000. Multiple double-blind, placebo-controlled clinical trials showed the beneficial effects of galantamine treatment on the cognitive and behavioral symptoms in AD patients for up to six months.7–9 Because ethical constraints prohibit the use of long-term, placebo-controlled studies of ChEIs in AD, the analysis of results from open-label, long-term trials is important. The response to ChEI varies within the AD population. Multiple factors have been outlined that enhance response to ChEI treatment in AD;10 however, there are no standard guidelines that define response to treatment. To overcome this issue, data-driven techniques, such as cluster analysis, could be used to investigate natural subgroups of AD populations in treatment studies.11 Low completion rates are another difficulty of long-term studies of AD patients, both with or without treatment. Three-year completion rates range between 4% and 39%,12–19 making it difficult to comprehend fully the long-term outcomes of treatment in AD. The investigation of treatment dropout and the search for methods aimed at enhancing completion rates and adherence to treatment are warranted in the field of AD research. The Swedish Alzheimer Treatment Study was designed to evaluate the long-term effects of ChEI treatment in a routine clinical setting. Data obtained from patients treated with donepezil and rivastigmine were reported previously.20,21 The clinical outcome of and adherence to long-term galantamine treatment in a routine setting remain to be investigated. In this report, we investigated the first 280 patients who received galantamine in the Swedish Alzheimer Treatment Study program; these individuals were recruited until the end of 2005 and had the opportunity to participate for three years. The aims of this report are to describe the cognitive (Mini-Mental State Examination [MMSE] and Alzheimer’s Disease Assessment Scale Cognitive Subscale [ADAS-cog]), functional (Instrumental Activities of Daily Living Scale [IADL]), and global outcomes of treatment, to identify treatment subgroups, and to investigate the rates of dropout and adherence to treatment.

Materials and methods

Subjects

Two hundred and eighty patients were recruited prospectively from 10 centers. The study data were collected by participating physicians at memory clinics across Sweden. The workup at baseline included medical history, informant-based information, physical and neurological examination, extended cognitive testing, laboratory tests, and computed tomography or magnetic resonance imaging of the brain. In some centers, patients were investigated additionally using cerebrospinal fluid taps, APOE genotyping, measurements of regional cerebral blood flow (SPECT), electroencephalography, and neuropsychological testing; however, these were not criteria for inclusion. Patients fulfilled the clinical criteria of dementia, as defined by the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV),22 and of probable or possible AD, according to the criteria of the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association.23 The inclusion criteria were wide, and included AD patients aged older than 40 years, living at home at the time of diagnosis, having a caregiver, assessable via MMSE at baseline, and able to give their informed consent to participate in the study. Patients who did not fulfill the diagnostic criteria for AD and those already receiving active treatment with another ChEI or with contraindications to galantamine treatment were excluded from the study. The decision to start the patient on ChEI was made by the treating physician, in accordance with the standards used in routine clinical practice. Medication other than antidementia drugs was allowed during the study. Concomitant medications and their doses were recorded. If other dementia treatments (ie, memantine or study drugs) were added, patients left the study at that point. All participating centers were trained in Good Clinical Practice, in diagnostics, and in the uniform use of the rating scales applied in this study. The data from the different centers were collected prospectively and the results were sent continuously to the Memory Research Unit in Malmö for monitoring and data handling. The study was approved by the ethics committee of the University of Lund. All patients and their closest relative/caregiver provided written informed consent to participate in the study, which was carried out in accordance with the Declaration of Helsinki.

Study design and outcome measures

Cognitive assessment was performed using the MMSE24 and ADAS-cog (0–70).25 MMSE scores range from 0 to 30, with a higher score indicating better function. Scores on the ADAS-cog version range from 0 to 70, with a higher score indicating lower function. ADAS-cog responses of patients at the different time intervals were investigated using the following cutoffs of change: “improved”, 4 or more points of improvement; “unchanged”, 3 to −3 points; and “worse”, 4 or more points of deterioration. Functional status was measured using the IADL scale,26 which ranges from 8 to 31 points, with a higher value indicating more impaired function. The eight items on the IADL scale were telephone use, shopping, food preparation, housekeeping, laundry, transportation, medication, and finances. If an item was not applicable to the individual, its score was 0. Disease level at baseline was assessed using a seven-point scale (from “1 = normal” to “7 = very severe”).27 The Clinician’s Interview-Based Impression of Change (CIBIC) rating28,29 was used as a global measure of “change from baseline”. The CIBIC uses a seven-point scale (from “1 = very much improved” to “7 = very much worse”), with a score of 4 indicating no change from baseline. No guidelines or descriptors were provided to define the individual ratings. Global rating was meant to measure the overall improvement, regardless of patient score on cognitive tests. Patients could be regarded as being globally better but still score less well on the cognitive tests. The distinction between minimally improved or much improved was left to the clinical judgment of the individual rater. Baseline was defined as the assessment prior to the first dose of treatment. All patients assessed at baseline and treated with at least one dose of galantamine were included in the outcome analysis (observed cases). The assessments at baseline were performed before and close to the start of ChEI treatment. Patients were assessed for all outcome measures at baseline and every six months after the baseline assessment for a period of three years. In addition, MMSE and global rating were performed at the two-month visit.

Comparative analysis

The Stern equation was used to calculate the annual change in ADAS-cog score if the patients had not been treated.30 This equation is based on the ADAS-cog (0–70) of AD patients with a baseline ADAS-cog score in the range of 5–69 points. The Stern equation is as follows: where T is time from baseline and xi score for an individual. The ADAS-cog value predicted using the Stern equation was calculated for each individual at each interval of the study. The mean change in ADAS-cog score from baseline was obtained based on these calculations. These scores were used as mathematical controls. The annual decrease in MMSE score in untreated AD patients was estimated at 2–4 points per year, and the annual increase in ADAS-cog was estimated at 4–9 points per year, based on historical reports of annualized decline.30–33

Subgroup analysis

A cluster analysis was applied to investigate the possibility of identifying natural subgroups of clinically sensible patients (short-term response). Patient baseline values of IADL and ADAS-cog and their six-month rate of change were used as variables in the analysis. The analysis included only patients with complete data at six months. The subgroups identified were described and compared. Differences in age, gender, duration of illness, number of years of education, APOE genotype (presence or absence of the APOE ɛ4 allele), number and type of medications at baseline, galantamine dose, occurrence of dropout, MMSE level at baseline, and pretreatment progression rate in MMSE were investigated. Pretreatment progression rate was calculated using the following formula: 30-baseline MMSE/estimated duration of symptoms in years, as described previously.34

Treatment

After inclusion and baseline assessments, patients received galantamine treatment according to the approved product labeling, as in routine clinical practice. Patients were initially prescribed tablets, but when the extended-release capsules became available, patients switched to this formulation. All patients were started on a dose of 8 mg/day, which was increased to 16 mg/day after four weeks of treatment, aiming at a further dose increase to 24 mg/day. In some cases, the dose was reduced because of the presence of side effects. All decisions regarding dosage were left to the individual clinician, as in routine clinical practice, and all dosage adjustments were recorded throughout the study. The patients paid for their medication in accordance with the standards of the Swedish health care system.

Dropout

Each center recorded the dates of dropout. The reasons for dropout were investigated and included admission to a nursing home, switch to another ChEI, death, withdrawal of informed consent, reconsideration of the diagnosis, presence of side effects, compliance problems, poor effect/deterioration, somatic disease unrelated to galantamine treatment, addon of memantine, entering another treatment study, and other reasons. Predictors of dropout were investigated and included age, gender, duration of illness, number of years of education, APOE genotype (presence or absence of the APOE 4 allele), number of medications at baseline, type of medication at baseline, galantamine dose, and baseline MMSE, ADAS-cog, and IADL scores.

Statistical analysis

The SPSS program, version 17.0 (SPSS Inc, Chicago, IL) was used to perform the statistical analyses. The level of significance was set at P < 0.05 if not otherwise specified. Nonparametric methods were used to avoid the possibility of skewed distributions. The Mann–Whitney U test was applied if two independent groups were compared. The χ2 test was used to analyze nominal scale variables, eg, gender and APOE genotype. The Wilcoxon signed-rank test was used to investigate differences in scores from the baseline to each assessment point. A logistic regression analysis using dropout (no/yes) as the dependent variable was applied to investigate predictors of discontinuation and their odds ratios. A hierarchical cluster analysis using Ward’s method with squared Euclidean distance was applied to determine the adequate number of clusters. Agglomeration coefficients and dendrogram analysis displayed a two-cluster solution as the most optimal. Subsequently, a k-means cluster analysis with two clusters was applied using the baseline values of IADL, ADAS-cog, the six-month IADL scale, and ADAS-cog change from baseline as independent variables in the analysis.

Results

The baseline characteristics of the 280 patients are displayed in Table 1. The mean age was 73.1 ± 8.2 years, and 62% of the patients were female. The median level of education was 9.8 ± 3.8 years. The mean duration of disease was 3.0 ± 1.7 years. At baseline, the mean MMSE score was 23.2 ± 4.1 and the ADAS-cog score was 16.8 ± 8.7. The mean baseline IADL score was 12.8 ± 5.2.
Table 1

Baseline characteristics and medication

Mean ± SD
Patients (n)280
Males/females %38/62
Living status (%)
Living alone32
Living with family68
Age at onset, years (range)70.1 ± 8.5 (43–87)
Age at baseline, years (range)73.1 ± 8.2 (47–88)
Illness duration at baseline, years3.0 ± 1.7
Years of education (range)9.8 ± 3.8 (7–20)
APOE ɛ4 allele, carrier/noncarrier, n (%)29/71 (274)
MMSE23.2 ± 4.1 (280)
ADAS-cog (0–70), mean (n)16.8 ± 8.7 (277)
IADL (n)12.8 ± 5.2 (263)
PSMS (range)7.0 ± 2.0
FAST (range)3.4 ± 1.3
Preprogression rate, MMSE decline/year3.2 ± 3.1
Medicationa n (%)
Any236 (85)
Antihypertensives/cardiac therapy105 (38)
Vitamins (folic acid, cobalamin)89 (32)
Acetylsalicylic acid81 (29)
Antidepressants76 (27)
Lipid-lowering agents50 (18)
Anxiolytics35 (13)

Note:

All baseline medications taken by more than 10% of the study population (n = 278), two patients did not provide baseline medication data.

Abbreviations: ADAS-cog, the Alzheimer’s Disease Assessment Scale-cognitive subscale; IADL, Instrumental Activities of Daily Living; SATS, Swedish Alzheimer Treatment Study; MMSE, Mini-Mental State Examination; SD, standard deviation; FAST, Functional Assessment Staging of Alzheimer’s Disease; PSMS, Physical Self-Maintenance Scale.

At baseline, 85% of the patients had concomitant medication (Table 1). The number of medications per person was 3.0 ± 2.7. The six groups of medication used by more than 10% of the study population are displayed in Table 1. The largest groups of medication were to treat vascular risk factors and included antihypertensive or cardiac therapy (38%), vitamins (B12 and/or folic acid, 32%), acetylsalicylic acid (29%), and lipid-lowering agents (18%). Medications for psychiatric symptoms included antidepressants (27%) and anxiolytics (13%). In addition 5%–9% of the patients used antidiabetic agents, analgesics (other than acetylsalicylic acid and nonsteroidal anti-inflammatory drugs), thyroid hormone therapy, and antacids and acid reducers. Less than 5% of the patients used antipsychotics, estrogen, nonsteroidal anti-inflammatory drugs, gingko/vitamin E, or asthma medication.

Study outcomes

Mini-Mental State Examination

The mean MMSE scores and the mean changes from baseline at the different visits are shown in Table 2. The mean MMSE score was 23.2 ± 4.1 at baseline and 21.7 ± 5.7 after 36 months. The MMSE score was significantly better at two months (P < 0.001) and at six months (P = 0.006) compared with baseline, and was stable at 12 months (P = 0.616) compared with baseline (Wilcoxon signed-rank test). However, it deteriorated after this time point. The MMSE changes from baseline over time are depicted in Figure 1 and Table 2. The total mean decline in MMSE score from baseline after three years of treatment was 2.6 ± 4.1. This three-year result was in accordance with the results described previously for one year (2–4-point change) in historical cohorts of untreated patients.32,35,36
Table 2

Study overview

Baseline2 months6 months12 months18 months24 months30 months36 months
Patients on treatment (n)280280267242220192152129
Completion rate (%)100%100%95%86%78%69%54%46%
Mean galantamine dose, mg/day14.5 ± 4.517.2 ± 4.018.4 ± 4.219.0 ± 4.518.9 ± 4.419.1 ± 4.319.4 ± 4.4
MMSE, mean ± SD (n)23.17 ± 4.14 (280)23.95 ± 4.08 (277)23.63 ± 4.41 (251)23.28 ± 4.88 (227)22.39 ± 5.14 (196)21.91 ± 6.01 (183)22.17 ± 5.27 (135)21.74 ± 5.68 (129)
MMSE change from baseline, mean, 95% CI0.79 ± 2.400.53 ± 2.74−0.19 ± 2.93−1.04 ± 3.46−1.79 ± 4.34−2.00 ± 3.86−2.57 ± 4.08
ADAS-cog (0–70), mean ± SD (n)16.85 ± 8.71 (277)16.22 ± 8.57 (244)17.43 ± 10.48 (223)18.71 ± 10.50 (191)18.58 ± 11.51 (174)18.17 ± 10.25 (131)19.39 ± 12.63 (125)
ADAS-cog change from baseline, mean ± SD0.16 ± 4.77−1.50 ± 6.17−3.13 ± 7.66−3.45 ± 7.55−4.08 ± 8.02−5.56 ± 10.08
ADAS-cog change, Stern equation, mean ± SD−0.36 ± 2.00−3.08 ± 2.84−5.67 ± 3.85−7.61 ± 4.68−10.27 ± 5.48−12.58 ± 2.27
CIBIC, stable or better than baseline, %93%82%69%57%50%44%41%
IADL, mean ± SD (n)12.76 ± 5.25 (263)14.06 ± 5.98 (231)14.57 ± 6.21 (211)15.86 ± 6.61 (180)16.13 ± 6.49 (174)16.63 ± 6.50 (126)17.13 ± 6.93 (119)
IADL change from baseline, SD−1.26 ± 3.10−2.01 ± 4.23−3.26 ± 4.76−3.85 ± 4.87−4.57 ± 5.16−5.28 ± 5.55
PSMS, change from baseline, SD−0.36 ± 1.42−0.62 ± 1.80−1.13 ± 2.45−1.21 ± 2.25−1.43 ± 2.43−1.65 ± 2.93
FAST, change from baseline, SD−0.15 ± 0.075−0.32 ± 1.02−0.69 ± 1.19−0.89 ± 1.49−0.92 ± 1.53−0.98 ± 1.78

Notes: ADAS-cog assesses cognitive function on a scale from 0–70, where a higher score indicates more severe dysfunction; MMSE assesses cognitive function on a scale from 0–30 where a lower score indicates more severe dysfunction. For clarity, clinical improvements in both scales are tabulated as a positive change from baseline, as have all the other measures.

Abbreviations: ADAS-cog, the Alzheimer’s Disease Assessment Scale-cognitive subscale; CI, confidence interval; IADL, Instrumental Activities of Daily Living; SATS, Swedish Alzheimer Treatment Study; MMSE, Mini-Mental State Examination; SD, standard deviation; FAST, Functional Assessment Staging of Alzheimer’s Disease; PSMS, Physical Self-Maintenance Scale; CIBIC, Clinician’s Interview Based Impression of Change.

Figure 1

Mean changes in score from baseline (95% confidence interval) in galantamine-treated patients. The shaded area is an estimated annual deterioration of 2–4 points per year as described in historical cohorts of untreated patients.

Abbreviation: MMSE, Mini-Mental State Examination.

Alzheimer’s Disease Assessment Scale-cognitive subscale

The mean ADAS-cog scores and their mean changes from baseline are presented in Table 2. The mean ADAS-cog (0–70) score was 16.8 ± 8.7 at baseline and 19.4 ± 12.6 after 36 months of treatment. The ADAS-cog (0–70) changes from baseline over time are described in Figure 2. The total change in ADAS-cog score after three years of treatment was 5.6 ± 10.1 points above the baseline values. This was significantly better than the expected change in ADAS-cog of 12.6 ± 6.2, as calculated using the Stern equation (Table 2 and Figure 2). Furthermore, it was better than the expected annual decline of 4–8 points recorded in untreated historical cohorts.30,37 The ADAS-cog scores at six months were not different from those recorded at the baseline (stable, P = 0.248, Wilcoxon signed-rank test), but deteriorated after that. ADAS-cog responses at all time intervals (which were defined as “improved”, 4 or more points improvement; “unchanged”, 3 to −3 points of variation; and “worse”, 4 points or more of deterioration) are displayed in Figure 3B.
Figure 2

Mean changes in ADAS-cog score from the baseline (95% CI) in galantamine-treated patients. They were significantly better compared with the predicted change for untreated patients, calculated using the Stern equation (95% CI), from 12 months and onwards.

Abbreviations: ADAS-cog, Alzheimer’s Disease Assessment Scale-cognitive subscale; CI, confidence interval

Figure 3

Global rating (CIBIC) was at all intervals compared with baseline. “Improved” was defined as a CIBIC score of 1–3, “unchanged” was defined as a CIBIC score of 4, and “worse” was defined as a CIBIC of 5–7. ADAS-cog responses at all time intervals. “Improved” was defined as 4 or more points improvement, “unchanged” was defined as 3 to −3 points of variation, and “worse” was defined as 4 points or more of deterioration.

Abbreviations: CIBIC, Clinician’s Interview Based Impression of Change; ADAS-cog, Alzheimer’s Disease Assessment Scale-cognitive subscale.

Instrumental Activities of Daily Living

Mean IADL scores and their changes from the baseline are presented in Table 2. The IADL scores deteriorated compared with baseline at all time points (Wilcoxon signed-rank test).

Clinician’s Interview Based Impression of Change

The mean CIBIC scores are displayed in Table 2. In summary, three groups were defined based on the CIBIC ratings. A CIBIC score of 1–3 was considered as “improved”, a CIBIC score of 4 was considered “unchanged”, and a CIBIC score of 5–7 as “worse”. At two months, 93% of the patients remaining in the study were “improved or unchanged” at months 6, 12, 24, and 36, 81%, 69%, 50% and 41% of the patients were “improved or unchanged”, respectively (Figure 3A). A dendrogram hierarchical cluster analysis (Ward’s method) suggested a two-cluster solution. Cluster 1 was composed of 76 patients with a baseline IADL level of 16.9 ± 5.3 points, an ADAS-cog score of 25.9 ± 6.5 points, and a six-month ADAS-cog improvement from baseline of 2.0 ± 5.5 points. Cluster 2 was composed of 147 patients with a baseline IADL level of 10.3 ± 3.4 points, an ADAS-cog score of 11.4 ± 4.0 points, and a six-month ADAS-cog deterioration from baseline of 0.77 ± 4.2 points (Table 3). Patients in cluster 1 were significantly older at baseline (P = 0.002) and at onset (P = 0.003) had a worse MMSE level at baseline (P < 0.001), exhibited a faster pretreatment progression rate (P < 0.001), and were more prone to dropout from the study (P < 0.001) than the patients in cluster 2. Patients in cluster 2 had a higher frequency of the APOE ɛ4 allele (P = 0.027) and a higher level of education (P = 0.007) than the patients in cluster 1. The patients in the two clusters did not differ regarding gender, dose of galantamine, number of medications at baseline, or disease duration (Table 3). Patients in cluster 2 received significantly more lipid-lowering medication than patients in cluster 1 (P = 0.019); otherwise, the type of medication did not differ between the two clusters (Table 3).
Table 3

Characteristics of clusters

CharacteristicsCluster 1 (n = 76)Cluster 2 (n = 147)P value (Mann-Whitney)
ADAS-cog (70), mean ± SD25.9 ± 6.511.4 ± 4.0<0.001
IADL, mean ± SD16.9 ± 5.310.3 ± 3.4<0.001
ADAS-cog change at 6 months, mean ± SD2.0 ± 5.5−0.8 ± 4.2<0.001
IADL change 6 months−1.5 ± 3.4−1.0 ± 2.70.233
Age at onset, mean ± SD72.3 ± 8.668.8 ± 8.50.003
Age at baseline, mean ± SD75.4 ± 8.271.8 ± 8.10.002
Duration of disease at baseline2.9 ± 1.83.0 ± 1.80.635
Female gender, %64600.491a
MMSE at baseline, mean ± SD19.4 ± 3.125.3 ± 2.8<0.001
Dropouts during study (%)7139<0.001a
APOE ɛ4 allele carrier (%)62760.027a
Galantamine dose, mg, mean ± SD16.2 ± 3.015.7 ± 3.40.311
Education, years8.8 ± 3.110.3 ± 4.00.007
Medications (n)2.7 ± 2.63.1 ± 2.80.305
Preprogression rate, MMSE decline/year5.2 ± 3.52.3 ± 2.30.001

Notes: For clarity, clinical improvements in both scales is tabulated as a positive change from baseline as have all the other measures.

Chi-square.

Abbreviations: ADAS-cog, the Alzheimer’s Disease Assessment Scale-cognitive subscale; IADL, Instrumental Activities of Daily Living; SATS, Swedish Alzheimer Treatment Study; MMSE, Mini-Mental State Examination; SD, standard deviation.

Patients not included in the cluster analyses because of missing data (n = 59) were treated with a lower dose of galantamine (14.1 ± 4.1 mg) compared with the patients who provided data for the cluster analysis (16.0 ± 3.1 mg). However, they did not differ from the patients included in the cluster analyses regarding any of the other aspects mentioned above. The mean dose of galantamine was 15.6 ± 3.4 mg, and the mean doses of galantamine administered at the different time points are displayed in Table 2. Completion rates are displayed in Table 2. The reasons for dropout are described in Table 4. The three most common causes of dropout were not associated with stopping galantamine treatment. Twenty-five percent of the patients left the study when memantine was added to the galantamine treatment. Another 15% of the patients left the study because they were recruited to other studies, eg, vaccination programs. In addition, 13% left the study at the time they moved to a nursing home but continued galantamine treatment. However, moving to a nursing home was not an end point of the study. Twenty-three patients continued in the Swedish Alzheimer Treatment Study after nursing home placement and contributed data to the study.
Table 4

Study dropouts

Direct reason for dropout, total (n)151
Adding memantine37
Taking part in another study23
Admission to nursing home19
Side effects14
Deterioration11
Compliance problems10
Death10
Withdrawal of informed consent10
Other reason13
Missing4
The baseline characteristics of the completers and non-completers of the present study were compared. Patients who left the study during the three-year interval had a significantly higher baseline ADAS-cog score (P < 0.001), a lower MMSE score (P < 0.001), and a higher IADL score (P < 0.001) compared with patients who remained in the study, thus indicating a more severe disease level. Moreover, the mean galantamine dose administered to noncompleters was lower (16.5 ± 4.6 mg) compared with that administered to completers (18.0 ± 3.1 mg; P < 0.004). The dropouts did not differ in number of medications at baseline, age at onset, age at baseline, duration of illness, education in years, gender, or APOE genotype compared with patients who completed the three years of the study. No differences in medication profiles at baseline were observed regarding use of any of the medication groups between the dropouts and completers. Similar results were obtained using a logistic regression model. A higher MMSE score at baseline (P < 0.001; odds ratio, 0.857) reduced the risk of dropout by 14.3% per MMSE point increase. Moreover, a higher dose of galantamine (P < 0.001; odds ratio, 0.81) reduced the risk of discontinuation by 19% for every milligram increase in galantamine dose. However, age, IADL at baseline, APOE genotype, years of education, and number of medications did not influence dropout.

Discussion

AD patients treated with galantamine in a routine clinical setting exhibited cognitive stabilization for up to one year after the onset of treatment. After three years of treatment, the mean MMSE change from baseline was 2.6 points. Subgroup response was assessed using cluster analyses, and two stable clusters were identified. Patients with higher age, lower cognitive and functional ability at baseline, faster pretreatment progression rate, and lower frequency of the APOE ɛ4 allele exhibited a better short-term response to treatment, but dropped out earlier. Moreover, a high adherence to treatment was observed compared with that reported by earlier studies, and the three-year completers received higher galantamine doses than the noncompleters. The routine clinical setting, which renders our results relevant also for the “ordinary” AD patient, was one of the advantages of the present study. This is especially important because the highly selected cohorts used in placebo-controlled trials may not be representative of patients in a real clinical setting.38 Moreover, even though we used a clinical routine setting, the data were collected prospectively and the evaluation was structured and standardized. One of the limitations of long-term AD studies is the absence of a control group, which is not possible to obtain for ethical reasons. Because long-term, placebo-controlled studies in AD are limited in time to a duration of six months, the analysis of long-term outcome is limited to open-label studies. Because AD is a disease with a duration of decades, these open follow-up investigations are important. The present study showed that mean MMSE levels in AD patients were improved over six months and were stable for up to one year after the onset of treatment. Stabilization over one year has been described previously in cohorts of galantamine-treated patients.39 The expected annual decline in MMSE score described previously was 2–4 points in nontreated historical cohorts32,35,36 and 2.2 points in placebo-treated patients.33 In the present study, the mean change in MMSE score from the baseline was 2.6 points, after not one but three years of treatment. Moreover, the three-year deterioration in ADAS-cog score was 5.6 points compared with the one-year deterioration of 8 points described in older untreated AD cohorts30,31 and the 18-month deterioration of 6.7 points observed in a more recent study of a cohort with milder AD.40 The consistency between the outcomes obtained using two different scales strengthens these results. However, comparison of the outcomes of our study with those observed in previous placebo-controlled cohorts or earlier long-term studies must be performed with caution. Differences in cohorts, level of disease, and study design can influence the outcome. In an earlier analysis of Swedish Alzheimer Treatment Study data stemming from a donepezil-treated cohort, our group demonstrated a decline in MMSE score of 3.8 points after three years of treatment.21 Because that cohort was, on average, older and more cognitively impaired at treatment onset compared with the patients presented in the current study, the comparison of these results remains difficult, but will be obtained by our group in the future using statistical methods such as mixed models. In the study presented here, 69% of the patients were globally assessed as “improved or unchanged” at one year, 50% were “improved or unchanged” at two years, and 41% were “improved or unchanged” at three years. This result was better than that observed in an earlier three-year follow-up study of donepezil-treated patients (49%, 35%, and 30%, respectively),21 as well as that observed in nontreated cohorts (34%, 13%, 14%, respectively).17 The response to ChEI treatment varies among the AD population. AD is a heterogeneous condition, and it is likely that the efficacy of various therapies differs among subgroups. This can depend not only on the medication used, but also on factors influencing disease progression (“how fast”) or disease severity (“how far”). Severity of disease and fast progression rate predict a positive short-term response to ChEI treatment in AD.41,42 However, the existence of malignant forms of AD with a fast progression rate and a lack of short-term response to ChEI treatment has also been reported.43 The definition of treatment response therefore remains difficult. There are no standard guidelines to describe response to treatment, and different definitions of response have been used previously.10 To overcome these difficulties in response definition, data-driven techniques, such as cluster analysis, may be better suited to the investigation of natural subgroups in AD treatment studies. Rockwood et al applied a cluster analysis to define outcome groups among a three-year completer population of AD patients.44 In the study presented here, we included not only the completer population, but all patients who provided at least six months of data. A stable two-cluster model was obtained, with different responses and characteristics. In our model, the response defined by the cluster analysis showed that patients exhibiting a better response at six months (cluster 1, n =76) had lower baseline ADAS-cog and IADL scores and a faster pretreatment progression rate, which was in line with earlier observations using other response definitions. The calculated estimation of pretreatment progression rate34 yielded the same predictive response (faster pretreatment progression/better short-term response) as that described in earlier cohorts for which pretreatment progression rate was measured, rather than being calculated.42 Analysis of the differences between dropouts and completers of the present study showed that the three-year completers had less advanced disease at baseline and received higher doses of galantamine than the noncompleters. Low doses of ChEIs have been associated with early discontinuation45 and some studies showed that higher ChEI doses enhance short-term response.46 These results stress the importance of using adequate ChEI doses in AD treatment to enhance adherence and response to treatment. Patients in cluster 2 dropped out to a lesser extent than patients in cluster 1. However, these two clusters did not differ in galantamine dose, but patients in cluster 2 were treated with lipid-lowering medication at baseline to a greater extent than patients in cluster 1. A protective effect of this medication cannot be ruled out, but this remains to be explored further using larger cohorts. In our cohort, 27% of patients were medicated with antidepressants at baseline, ie, before inclusion in the study. This figure is not high in naturalistic cohorts, because several studies show that AD patients have a large comorbidity with depression, ranging from 20% to 30%. Among large European naturalistic AD cohorts, a 24% depression rate was described in one study47 and in another study anti-depressants were prescribed to 34% of the patients.48 We know that the patients receiving antidepressants at baseline did not drop out to a greater extent than the ones without this treatment. High dropout rates are a problem in all long-term AD studies. Appendix 1 provides an overview of dropouts in various long-term studies to highlight this issue. Three-year completion rates of 4%–39% are reported. Thus, the three-year completion rate of 46% obtained in the current study is high compared with that of other long-term AD studies. In the present study, the two major reasons for dropout were addition of memantine or recruitment of patients to other treatment studies. As new treatment options emerged, patients were free to leave the present study to try other options. We do not know at this point whether these patients would have contributed to a different outcome if they had remained in the present study for the three-year period. We know that they were younger and better educated (data not shown), but did not differ in MMSE or ADAS-cog scores at baseline from the other dropout groups (data not shown). However, the possibility that patient deterioration was one of the reasons for adding memantine cannot be ruled out. A recent observational health database study revealed that only 54% of patients receiving galantamine continued to do so for one year,49 which was longer than that observed for the donepezil-treated and rivastigmine-treated patients included in the same survey. Enhancement of the completion rates in long-term AD studies will be crucial in future studies of protective treatments, because these must be performed on a long-term basis.

Conclusion

Long-term galantamine treatment in a routine clinical setting resulted in stabilization of cognitive and global decline in AD patients. Moreover, after two years of treatment, half of the patients showed cognitive and global stabilization of their condition. We identified subgroups of patients with differential responses to treatment and dropout. The Swedish Alzheimer Treatment Study protocol used in this clinical setting may have contributed to the high completion rates observed in this study.
MMSE (mean) baseline levelBaseline (n)1-year2-year3-year4-year5-year
Randomized controlled trials
Mohs et al54 (don)17.143126%
Winblad et al33 (don)19.428667%
Courtney et al12 (AD2000, don)a19 (median)56552%20%3.5%
Randomized controlled trials with open-label extensions
Rogers et al16 (don)b27 (mean ADAS-cog)13375%29%22%15%3%
Doody et al50 (don)c(range 10–26)76375%48%7%d
Grossberg et al51 (riv)19.4201074%48%
Pirtilla et al15 (gal)19.4103947%30%e
Small et al14 (riv)19.3199874%52%33%15%4%
Winblad et al13 (don)19.428667%49%39%
Open studies from naturalistic settings
Minthon et al20 SATS (riv)22.921789%66%
Wallin et al21 SATS (don)22.043582%60%38%
Lyle et al18 (don)18.88857%43%20%12%
Raschetti et al52 (don, riv, gal)18.2546252%f
Wallin et al19 (tacrine)20.55066%46%30%26%16% (4% with MMSE)
Without treatment
Holmes and Lovestone17 (no treatment)17.015166%44%32%
Head-to-head studies
Bullock et al53 (riv, don)99458%

Notes:

Multiple washout periods;

161 patients entered 12-week randomized controlled trial, 2 weeks washout, 133 entered open phase;

3-week or 6-week washout periods before open-label study started;

2.8 years;

64% of 12-month completers, continuous 24 mg galantamine treatment;

nine months.

Abbreviations: ADAS-cog, the Alzheimer’s Disease Assessment Scale-cognitive subscale; don, donezepil; riv, rivastigmine; gal, galantamine; SATS, Swedish Alzheimer Treatment Study; MMSE, Mini-Mental State Examination.

  53 in total

1.  Long-term donepezil treatment in 565 patients with Alzheimer's disease (AD2000): randomised double-blind trial.

Authors:  C Courtney; D Farrell; R Gray; R Hills; L Lynch; E Sellwood; S Edwards; W Hardyman; J Raftery; P Crome; C Lendon; H Shaw; P Bentham
Journal:  Lancet       Date:  2004-06-26       Impact factor: 79.321

Review 2.  Rates of change of common measures of impairment in senile dementia of the Alzheimer's type.

Authors:  J A Yesavage; S L Poulsen; J Sheikh; E Tanke
Journal:  Psychopharmacol Bull       Date:  1988

3.  The Clinician Interview-Based Impression (CIBI): a clinician's global change rating scale in Alzheimer's disease.

Authors:  D S Knopman; M J Knapp; S I Gracon; C S Davis
Journal:  Neurology       Date:  1994-12       Impact factor: 9.910

4.  Modelling mini mental state examination changes in Alzheimer's disease.

Authors:  M S Mendiondo; J W Ashford; R J Kryscio; F A Schmitt
Journal:  Stat Med       Date:  2000 Jun 15-30       Impact factor: 2.373

5.  A 5-month, randomized, placebo-controlled trial of galantamine in AD. The Galantamine USA-10 Study Group.

Authors:  P N Tariot; P R Solomon; J C Morris; P Kershaw; S Lilienfeld; C Ding
Journal:  Neurology       Date:  2000-06-27       Impact factor: 9.910

Review 6.  Clinical global impressions in Alzheimer's clinical trials.

Authors:  L S Schneider; J T Olin
Journal:  Int Psychogeriatr       Date:  1996       Impact factor: 3.878

7.  Donepezil in Alzheimer's disease: what to expect after 3 years of treatment in a routine clinical setting.

Authors:  Asa K Wallin; Niels Andreasen; Sture Eriksson; Stellan Båtsman; Birgitta Nasman; Anne Ekdahl; Lena Kilander; Mikaela Grut; Marie Rydén; Anders Wallin; Mikael Jonsson; Hasse Olofsson; Elisabeth Londos; Carina Wattmo; Maria Eriksdotter Jonhagen; Lennart Minthon
Journal:  Dement Geriatr Cogn Disord       Date:  2006-12-18       Impact factor: 2.959

Review 8.  Use of cholinesterase inhibitors in clinical practice: evidence-based recommendations.

Authors:  Jeffrey L Cummings
Journal:  Am J Geriatr Psychiatry       Date:  2003 Mar-Apr       Impact factor: 4.105

9.  Treatment of a whole population sample of Alzheimer's disease with donepezil over a 4-year period: lessons learned.

Authors:  Sarah Lyle; Moni Grizzell; Sasi Willmott; Susan Benbow; Michael Clark; David Jolley
Journal:  Dement Geriatr Cogn Disord       Date:  2008-01-30       Impact factor: 2.959

10.  A long-term comparison of galantamine and donepezil in the treatment of Alzheimer's disease.

Authors:  Gordon Wilcock; Ian Howe; Hilary Coles; Sean Lilienfeld; Luc Truyen; Young Zhu; Roger Bullock; Paul Kershaw
Journal:  Drugs Aging       Date:  2003       Impact factor: 3.923

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  9 in total

1.  Efficacy and safety of galantamine treatment for patients with Alzheimer's disease: a meta-analysis of randomized controlled trials.

Authors:  Deqi Jiang; Xiujuan Yang; Mingxing Li; Yan Wang; Yong Wang
Journal:  J Neural Transm (Vienna)       Date:  2014-12-30       Impact factor: 3.575

2.  Effectiveness and Safety of MLC601 in the Treatment of Mild to Moderate Alzheimer's Disease: A Multicenter, Randomized Controlled Trial.

Authors:  Hossein Pakdaman; Ali Amini Harandi; Hamidreza Hatamian; Mojgan Tabatabae; Hosein Delavar Kasmaei; Amirhossein Ghassemi; Koroush Gharagozli; Farzad Ashrafi; Pardis Emami Naeini; Mehrnaz Tavakolian; Darush Shahin
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2015-03-07

3.  First in human study with a prodrug of galantamine: Improved benefit-risk ratio?

Authors:  Anne C Baakman; Ellen 't Hart; Denis G Kay; Jasper Stevens; Erica S Klaassen; Alfred Maelicke; Geert J Groeneveld
Journal:  Alzheimers Dement (N Y)       Date:  2016-01-20

4.  Long-term effect of galantamine on cognitive function in patients with Alzheimer's disease versus a simulated disease trajectory: an observational study in the clinical setting.

Authors:  Ryoko Nakagawa; Takashi Ohnishi; Hisanori Kobayashi; Toshio Yamaoka; Tsutomu Yajima; Ai Tanimura; Toshiya Kato; Kazutake Yoshizawa
Journal:  Neuropsychiatr Dis Treat       Date:  2017-04-19       Impact factor: 2.570

5.  Acute response to cholinergic challenge predicts long-term response to galantamine treatment in patients with Alzheimer's disease.

Authors:  Anne Catrien Baakman; Carmen Gavan; Lotte van Doeselaar; Marieke de Kam; Karen Broekhuizen; Ovidiu Bajenaru; Laura Camps; Eleonora L Swart; Kees Kalisvaart; Niki Schoonenboom; Evelien Lemstra; Philip Scheltens; Adam Cohen; Joop van Gerven; Geert Jan Groeneveld
Journal:  Br J Clin Pharmacol       Date:  2022-01-26       Impact factor: 3.716

6.  Progression of mild Alzheimer's disease: knowledge and prediction models required for future treatment strategies.

Authors:  Carina Wattmo; Asa K Wallin; Lennart Minthon
Journal:  Alzheimers Res Ther       Date:  2013-10-07       Impact factor: 6.982

7.  Galantamine slows down plaque formation and behavioral decline in the 5XFAD mouse model of Alzheimer's disease.

Authors:  Soumee Bhattacharya; Christin Haertel; Alfred Maelicke; Dirk Montag
Journal:  PLoS One       Date:  2014-02-21       Impact factor: 3.240

8.  Early- versus late-onset Alzheimer's disease in clinical practice: cognitive and global outcomes over 3 years.

Authors:  Carina Wattmo; Åsa K Wallin
Journal:  Alzheimers Res Ther       Date:  2017-08-31       Impact factor: 6.982

9.  Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning.

Authors:  Nonie Alexander; Daniel C Alexander; Frederik Barkhof; Spiros Denaxas
Journal:  BMC Med Inform Decis Mak       Date:  2021-12-08       Impact factor: 2.796

  9 in total

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