The Impact of Medication Compliance on mild Cognitive Impairment in Hypertensive Individuals: A Cohort Study
Shalini Yadav1*, Sunil Sharma1, Bir Singh Yadav2, Rohtash Insa3
1Department of Pharmaceutical Sciences, Guru Jambheshwar University of Science and Technology,
Hisar – 125001, Haryana.
2Shanti Mission Hospital 49 E, Delhi Road, Model Town, Hisar – 125001.
3State Medical College, Uttar Pradesh.
*Corresponding Author E-mail: shalini17031990@gmail.com
ABSTRACT:
Objectives: The study was designed to evaluate if antihypertensive drug compliance has a protective role against mild cognitive impairment (MCI). Further to assess the prevalence and factors associated with MCI among older adults in Indian population. Our study also focused on serum creatinine level correlation with blood pressure and cognitive impairment. Materials and Methods: The investigation was carried out at multi-specialty hospitals. The experimental protocol was approved by Ethical Committee constituted as per guidelines of Indian Council of Medical Research (ICMR). 168 subjects were enrolled, having age≥50 years and with hypertension≥ 5 years; does not meet the diagnostic criteria for dementia as defined by ICD-10. Subjects were assessed by using Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) for MCI, further assessed by various cognitive domain specific tests. Statistical analysis: Analysis was done using SPSS software version 25.0. Results: Females dominated the study population with a mean age of 59.92± 8.52 yrs. 57.73 percent of population belongs to rural background. Cognitive impairment was more prevalent in non-complaint group (85.9%) than in compliant group (49%). Mean MMSE score of non-complaint group 25.53± 2.54 compared to 27.30± 1.90 in complaint group (p< 0.001) and mean MoCA score was 22.39± 3.28 compared to 24.93± 2.43 in complaint group (p< 0.001). Cognition sub- domains were found to be affected. Conclusion: In accordance with above study compliance/adherence to antihypertensive medicines indicates a protective effect on brain cognition. Because hypertension patients experience cognitive deterioration at a high rate, a thorough cognitive assessment is necessary as part of an overall evaluation.
KEYWORDS: Antihypertensive, Cognitive decline, Dementia, Hypertension, Mild Cognitive Impairment (MCI).
INTRODUCTION:
In 1997, Peterson introduced the concept of Mild cognitive impairment (MCI), and defined it as a syndrome in which an individual's cognitive deterioration is higher than predicted for his/ her age and education level, but does not significantly impede with everyday tasks.1 Whereas in dementia deterioration in mental capacities and cognitive processes (primarily decline in memory and thinking), severe enough to impair activities of daily living (ADL).2
Dementia prevalence is anticipated to expand exponentially in developing nations as people live longer and risk factors such as hypertension and stroke become more prevalent.3 With 4.1 million dementia patients, India is in third place globally, only behind the 4.2 million Americans and more than 9 million Chinese.4 People with MCI are at 10 times higher risk of developing dementia than cognitively healthy older adults, with estimated rates of conversion to dementia of 12% in 1 year 20% over 3 years5 and 50% at 5 years.5 Dementia have an astounding economic burden on society with an estimated rise of 2 trillion US$ by 2030.4 Therefore identifying dementia at an early stage (viz. MCI) is gaining concern especially for developing countries with inhomogeneous health coverage.
Hypertension (HTN) ranks third in importance for assignable disease burden in South Asia.6 We know that to address the dementia problem, both neural and vascular preventive strategies are required7 and hypertension plays a critical role in vascular health, making it a significant risk factor for developing MCI8 as well as dementia. Studies show that midlife hypertension is linked to late-life dementia (a decade later).7 The majority of data on the relationship between hypertension and CI are of European or American ancestry,9 adjusting for risk factors reduced but did not eliminate disparities.10 Results for one ethnic group may not necessarily valid for other.10-12 The studies related to association of hypertension and dementia/cognitive impairment have equivocal results, concluding both positive5,11-15 and no/negative association16- 20 thus needs more investigation, especially in scarcely studied and vulnerable Indian subjects.
About 70% of Americans aged 60 and older have hypertension, and 15 to 18 million people in this age range are expected to have dementia by 2050.8 As per estimates HTN will affect 22.9 percent of Indian men and 23.6 percent of Indian women by 2025.21 About 63% of older Indians are prevalent to HTN.20 According to a meta-analysis, hypertension affects 33 percent of people in urban areas and 25 percent of those in rural areas in India. Two-thirds of older Indian adults have hypertension, with the majority of cases going undetected or being poorly managed.20
Serum creatinine levels were also measured, as serum creatinine had been linked to late-life incidence all-cause dementia.22 The two functional ACE gene variants namely rs1800764 and rs42915 are most significantly associated with increased angiotensin-converting enzyme activity. They also have an impact on cognitive decline risk and age of beginning of the amnestic phenotype of dementia caused by Alzheimer's disease. While the usage of ACE inhibitors was protective against changes in creatinine, each A allele of rs42915 caused an annual rise in creatinine of 0.044mg/dL.23 Preventing dementia to become an unchecked epidemic we must focus on submerged part of the iceberg, means identifying patients at risk of progressing from MCI to AD is critically essential. The current investigation aims to substantiate the equivocal cognitive impairment and hypertension association in Indian community. The current study enrolled participants high risk group subjects, such as aged with HTN and screened for MCI (a transitional phase in dementia development). Further investigate the role of compliance towards antihypertensive medicines in prevention of dementia development.
MATERIALS AND METHODS:
The above reported study was carried out at renowned hospitals located in northern part of India. In these hospitals patients mainly visits from Haryana, Punjab and Rajasthan states. The study is retro-prospective cohort and was approved by the Institutional Ethical Committee (Approval No. PTY/2017/484). The informed consent was obtained which clearly states purpose of study and that the participation was voluntary.
The study criteria included recruitment of subjects having age ≥50 years and pre diagnosed hypertension ≥ 5 years and do not meet the diagnostic criteria for dementia as defined by ICD-10.2 Participants with past history of any reversible cause of dementia (vitamin B 12 insufficiency, hypothyroidism, or neuro-infections producing dementia) or with history of diabetes, AIDS, tuberculosis, stroke, tumor; Patients with history of kidney transplant or receiving any form of dialytic therapy were excluded.
To verify the above criteria, we retrospectively analyzed past prescriptions and medical records. Duration of hypertension and whether subjects were complaint with prescribed medication was also determined. Two blood pressure measurements were taken and their average was used in the study. GHQ (General Health Questionnaire) and BDS (Blessed Dementia Scale) were also applied as screening device for identifying minor psychiatric disorders and to assess activities of daily living respectively. The subjects were screened for MCI by using MMSE (Mini Mental State Examination) and MoCA/ MoCA-B (Montreal Cognitive Assessment/ Montreal Cognitive Assessment- Basic), under the proper guidance of the experts that was Neuro-Psychiatrist (MBBS, MD Psychiatry), Physicians (MBBS, MD Internal Medicine), Clinical Psychologist and Pharmacologist (PhD- Pharmacology).In prospective part of study, we followed up subjects for a mean duration of 28. 69±11.85 months and screened using above mentioned neuropsychological test for progression to dementia. Details of the prospective study will be given in a subsequent publication.
Study population had 168 participants and was divided into two groups. Group H was hypertensive patients (n=138), further divided into sub-groups: group Hc (hypertensives with compliance to Antihypertensive drugs; n=74); group Hnc (hypertensives with non-compliance; n=64). Group NT included normotensive subjects (n=30). According to Goldstein FC 2013, subjects having readings of SBP <140 mmHg and DBP <90mmHg were considered normotensive.13 High BP was defined as SBP ≥ 140mmHg or DBP ≥ 90mmHg on two or three occasions.13 Two-thirds of older Indians had HTN, with the majority undiagnosed or diagnosed but not adequately controlled.20 Subjects in the noncompliance group had either diagnosed but uncontrolled HTN or undiagnosed hypertension 20[defined as hypertensive BP measurements (from approx. 5yrs or more) but no physician diagnosis]. Screening in present investigation was further substantiated by various cognitive domain specific tests described below.
All of the information gathered was recorded into a pre- designed case record form, which contained the patient’s demographics, educational level, comprehensive scores of all cognitive tests administered, medicines prescribed, and co-morbid conditions.
Screening tests:
Blessed dementia scale (BDS) we used a modified version of the informant-derived Blessed Dementia Scale (BDS) to determine changes in ADL. 24 BDS is only used to screen subjects for inclusion criteria, which state that patients must be dementia free and their daily living activities must be intact.
MMSE- a simplified version of the cognitive mental status assessment with eleven questions, which takes 5-10 minutes to conduct and yields a total score of 30. It concentrates only on the cognitive aspects of mental functions. 25 In this study a cut off score ≤23 was used. 5
MoCA version 8.1 and MoCA –B was created as a quick screening tool to detect MCI. It is a paper-pencil tool with a total score of 30 points that takes around 10 minutes to administer. MoCA-B was developed to identify MCI in those with low levels of education or illiterate. Time to administer the MoCA-B is approximately 15 minutes. A cut off of < 26 was used. In accordance with education level of the patients, the MoCA scale scores are adjusted. 26 Both available online in Hindi language on www.mocatest.org.
Cognitive domain specific tests:
The tests below were selected in accordance with the ICD-10 diagnostic criteria for MCI, which specify that the predominant symptom is deterioration in cognitive performance, which mostly comprises memory loss, learning difficulty, or concentration issues.2 BVRT - used to assess memory of nonverbal information. Individual participants are presented one or more visual designs (example simple geometric figures) and then asked to recall the design by drawing it.27 DST backward- It’s a tool for evaluating working memory. The patient was given a string of numbers and instructed to repeat the numbers backward. This task is repeated until the examinee either fails to repeat a pair of sequences or correctly repeats the highest sequence.28 TMT A used to assess attention, had a score card with 29 sec (average score) and >78 sec (deficient in cognition).11,29
STATISTICAL ANALYSIS:
Data was coded and compiled using Microsoft Excel sheets. IBM (Armonk, NY) SPSS software version 25.0 was used for the analysis. Range, frequency, percentage, mean, and standard deviation were used in the descriptive analysis. One way ANOVA and Krushal wallis ANOVA were used for parametric and non- parametric variables respectively. Chi square test was used for categorical variable. Pearson correlation was used to calculate correlation coefficient. Hazard Ratio (HR) was also calculated for survival analysis.
RESULTS:
Demographic parameter Mean age of the population was 59.92±8.52 years. Mean age of the subjects of group Hc+MCI (compliant hypertensives with MCI) was 64.92± 6.62 years with range of 54-80yrs, while that of group Hnc+MCI (non-compliant hypertensives with MCI) was 60.91±9.13yrs with range of 50-85yrs. Baseline readings of various study parameters of the population were illustrated in table 1.
Mean of formal education for study population was 6.57 years with 34.5% illiterates. Table 2 describes incidence of MCI in group H (hypertension group), on the basis of age, gender, education status and compliance. Further division of mean years of formal education for group Hc+ MCI was 3.95 yrs. and for Hc+ no MCI (compliant hypertensives+ no MCI) was 9.66yrs. Similarly, for Hnc+ MCI subjects was 4.13 yrs and for group Hnc+ no MCI (non-compliant hypertensives+ no MCI) subjects was 9.33yrs. Considering the BDS score except 5 participants (whose score was 0.5), remaining all participants scored a “zero”.
MMSE and MoCA Score A total 11.90% of the population had a MMSE score ≤23. Considering about the Montreal Cognitive Assessment test 72% of the population had score <26. Table 3 depicted a comprehensive illustration of various study parameters based on distinct study groups. The current study displays a statistically significant relationship between gender and education (p<0.001), males were more educated than females as per Pearson’s correlation coefficient. Likewise, males scored significantly more in MMSE (p=0.032) and MoCA (p= 0.053) test. Out of 355 hypertensive subjects screened, 168 participants were enrolled and 121 subjects were screened positive for MCI. Rest of the subjects were excluded due to one or more reason; diabetes was the most common cause of exclusion (Figure 1).
Hypertensive group from 138 retrospectively diagnosed hypertension patients, 46.38% (64) were those who didn’t show compliance with the prescribed anti-hypertensive drugs and 53.62% (74) were those who followed the prescription and showed compliance. Non-complaint group subjects were having high blood pressure as self- reported or from the history with a prescription, which they follow sporadically. In compliant group subjects had a diagnosed HTN and shows compliance towards the prescribed Antihypertensives.
Prevalence of MCI in compliance group (Hc) was 48.65% (95% CI: 0.369 to 0.606) and 85.94% (95% CI: 0.75 to 0.93) in non- compliance group (Hnc) (HR= 0.57, p<0.001). A significant higher mean MMSE score (table 3) for Hc group than Hnc group was observed (p<0.001). Likewise, for MoCA score (table 3) a significant higher mean was observed for Hc than both group Hnc (p<0.001) and group NT (p<0.001).
Table 1: Baseline data of factors associated with cognitive impairment of the study population.
|
Various study parameters |
Baseline Readings (n=168) |
|
Socio- demographic characteristics |
|
|
Age (years) α |
59.92± 852 |
|
Females (%) β |
54.8 |
|
Education (years) α |
6.57 |
|
Locality/ Family type β Rural/Joint Rural/ Nuclear Urban/ Joint Urban/ Nuclear |
46.4 (78) 11.30 (19) 26.80 (45) 15.5 (26) |
|
Occupation β Farming Unskilled Worker Skilled Worker Retired from employment Business Other Homemaker |
8.3 (14) 5.4 (9) 22 (37) 6 (10) 4.8 (8) 10.1 (17) 43.5 (73) |
|
Lifestyle Factors |
|
|
Smoking Status (%) β Current Smoker Former Smoker |
3.38 8.11 |
|
Alcohol/ Substance abuse (%) β Current Consumer Former Consumer |
2.03 1.35 |
|
Clinical Characteristics |
|
|
Mean SBPα |
146.40± 19.85 |
|
Mean DBP |
88.23± 9.79 |
|
Duration of HTN (years) α |
6.83± 3.34 |
|
S. Cholesterolα |
151.50± 16.77 |
|
HDLα |
44.46± 6.89 |
|
S. Creatinineα |
1.10± 0.72 |
|
B. Ureaα |
30.51± 7.79 |
|
Cognition Assessment |
|
|
MMSE Scoreα Mean± SD Range ≤23 (%) |
26.55± 2.48 18- 30 11.90 |
|
MoCA Scoreα Mean± SD Range < 26 (%) |
23.52± 3.10 13- 30 72 |
|
TMT A Scoreα Mean± SD Range |
37.92± 11.10 21-66 |
|
BVRT Score β Positive Score |
42.9 |
|
DS backward (levels in %) β Level 0 Level 3 Level 4 Level 5 Level 6 Level 7 |
23.4 48.3 19.3 8.3 0.0 0.7 |
Data is expressed by mean± Standard deviation (SD). Abbreviations: SBP (Systolic Blood Pressure), DBP (Diastolic Blood Pressure), HTN (hypertension), MMSE (Mini Mental State Examination), SD (Standard Deviation), MoCA (Montreal Cognitive Assessment), TMT A (Trial Making Test- part A), BVRT (Benton’s Visual Retention Test), DS (Digit Span); P< 0.05; α = Independent samples T-test ; β= Chi square test
Table 2: Incidence rate of MCI, according to age, sex, education and compliance for anti-hypertensive drugs investigated in group H (subjects with Hypertension).
|
Age (yrs)
|
% Of MCI diagnosed subjects |
% Of MCI diagnosed subjects |
Level of education |
% Of MCI diagnosed subjects |
|||
|
Male |
Female |
Group Hc |
Group Hnc |
Group Hc |
Group Hnc |
||
|
49-60 |
20.83 |
31.94 |
27.02 |
80 |
Illiterate |
88.60 |
93.75 |
|
61-70 |
32.69 |
50 |
75.86 |
91 |
Primary |
58.33 |
88.88 |
|
71-80 |
50 |
25 |
62.5 |
100 |
Upper primary + secondary |
27.27 |
81.81 |
|
81-85 |
100 |
0 |
… |
100 |
Higher secondary |
33.33 |
50 |
|
Overall gender specific rate |
28.99 |
37.68 |
|
Graduate |
18.18 |
100 |
|
|
Post graduate |
23.33 |
… |
|||||
Abbreviations: MCI (Mild Cognitive Impairment), Hc (Hypertensive patient’s complaint to antihypertensive medicines), Hnc (Hypertensive patient’s non-complaint to antihypertensive medicines).
Table 3. To study the significance level of cognition related parameters in various study groups [hypertensive cohort (sub group Hc and Hnc) and normotensive subjects (group NT)].
|
Study parameter |
Hypertensive Cohort Sub-group Hc Sub-group (n=74) Hnc (n=64) |
Group NT (n=30) |
pvalue (Hc vs Hnc) |
pvalue (Hc vs NT) |
pvalue (Hnc vs NT) |
|
|
Age α (year) Range |
61.41±8.27 50-80 |
60.25 ±8.77 50- 85 |
55.53 ±7.32 49-76 |
0.650 |
0.004 |
0.037 |
|
Education (years)α |
6.88± 5.73 |
5.06± 5.61 |
8.93± 5.95 |
0.154 |
0.225 |
0.007 |
|
Mean SBPα |
153.45± 17.88 |
150.34±15.95 |
120.63±8.04 |
0.485 |
<0.001 |
<0.001 |
|
Mean DBP α |
90.49± 10.56 |
90.14± 7.95 |
78.57±4.01 |
0.971 |
<0.001 |
<0.001 |
|
Duration of HTNβ (years) Range |
7.62±3.43 5- 20 |
5.92± 3.03 5- 18 |
---- ---- |
0.003
|
----
|
----
|
|
MMSE Score β (Mean± SD ) Range ≤23 (%) |
27.30 ± 1.9
18- 30 2.70 |
25.53 ± 2.54
18- 30 21.88 |
26.87± 2.93
19- 30 13.33 |
<0.001 |
1.00 |
0.003 |
|
MoCA Score β (Mean± SD ) Range < 26 (%) |
24.93 ± 2.42
18-30 49.9 |
22.39± 3.28
13-29 85.94 |
22.40± 2.80*
15- 25 100 |
<0.001 |
<0.001 |
1.00 |
|
TMT A scoreα (Mean± SD) Range (in seconds |
38.18± 10.95
23- 61 |
44.62± 7.49
36- 66 |
29.78± 4.41
24-39 |
0.031 |
0.025 |
<0.001 |
|
S. cholesterol β (mg%) |
148.98± 16.20 |
158.40± 18.41 |
151.70± 13.57 |
0.002
|
0.419 |
0.079 |
|
HDLα(mg%) |
45.36± 5.35 |
48.50± 8.22 |
39.20± 5.49 |
0.132 |
0.243 |
.004 |
|
B. Urea |
31.83± 8.28 |
27.47± 5.97 |
--- |
|
|
|
|
S. creatinine (mg/dl) β |
1.19± 0.91 |
1.07± 0.22 |
0.96± 0.07 |
0.07 |
0.07 |
---- |
Data is expressed by mean± Standard deviation (SD). Abbreviation: SBP (Systolic Blood Pressure), DBP (Diastolic Blood Pressure), HTN (hypertension), MMSE (Mini Mental State Examination), SD (Standard Deviation), MoCA (Montreal Cognitive Assessment), TMT A (Trial Making Test- part A), HDL (High Density Lipoprotein); P< 0.05; α = One way ANOVA followed by Tukey HSD test.; β= Krushal wallis ANOVA followed by Bonferroni test.
Figure 1: Flow chart representation of study design (details of the prospective study will be given in a later article in its continuation)
Looking at the DS-backward result (table 4) for group Hc+MCI, ranges from level 0 to 6, for group Hc+ no MCI this score was in between level 3 to level 5. Additionally, for group Hnc+ MCI the score ranges from level 0 to 5 with 49 % subjects having a zero score and for Group Hnc+ no MCI it was level 0 to 4. Regarding TMT A score (table 3) for hypertensive group Hc+ MCI (range= 30-61 sec; mean ± SD =46.71 ±10.03) and for Hc+ no MCI (range= 23-55 sec; mean ± SD = 33.58 ± 8.46). Similarly for group Hnc+ MCI (range= 36- 66 sec; mean ± SD =47.86 ±9.30) and Hnc+ no MCI group (range= 21- 46 sec; mean ± SD = 35 ± 11.77). MMSE, MoCA, and TMT A scores were found to be positively (p< 0.01) correlated with education. Table 5 describes the mean scores of various cognitive domains of Montreal cognitive assessment.
Biochemical parameters Table 3 illustrates various biochemical parameters studied at baseline namely S. cholesterol, HDL, S. creatinine. No correlation was observed between serum creatinine variation and variation in SBP (p=0.482) and DBP variation (p= 0.402) using Pearson’s chi square test. Serum creatinine and MMSE score (p= 0.858) were not correlated, similar results were observed for serum creatinine and MoCA (p= 0.989).
Table 4: Significance level determination of various categorical variables between study groups using chi- square test.
|
Variables |
|
Group Hc |
Group Hnc |
Group NT |
P value |
|
Gender |
Males n (%) Females n(%) |
34(45.9) 40 (54.1) |
32 (50) 32 (50) |
10(33.3) 20(66.7) |
0.314 |
|
Locality/family type (%)
|
Rural/Joint Rural/ Nuclear Urban/Joint Urban/Nuclear |
43.2 |
59.4 |
26.7 |
.066 |
|
9.5 |
10.9 |
16.7 |
|||
|
32.4 |
18.8 |
30.0 |
|||
|
14.9 |
10.9 |
26.7 |
|||
|
Occupation |
Farming |
8.1 |
9.4 |
6.7 |
.001 |
|
Unskilled Worker |
2.7 |
7.8 |
6.7 |
||
|
Skilled Worker |
20.3 |
9.4 |
53.3 |
||
|
Retired from employment |
2.7 |
7.8 |
10.0 |
||
|
Business |
6.8 |
4.7 |
0.0 |
||
|
Other |
8.1 |
17.2 |
0.0 |
||
|
Homemaker |
51.4 |
43.8 |
23.3 |
||
|
DS |
Level 0 |
19.7 |
32.7 |
16 |
.204 |
|
Level 3 |
43.7 |
49 |
60 |
||
|
Level 4 |
21.1 |
16.3 |
20 |
||
|
Level 5 |
14.1 |
2 |
4 |
||
|
Level 6 |
1.4 |
0 |
0 |
||
|
BVRT |
Positive score (%) |
50 |
28.1 |
56.7 |
.003 |
Table 5: Mean scores of various cognitive domains of Montreal cognitive assessment (both MoCA and MoCA- B were used in the study population)
|
Cognitive Domains Sub Tests included |
Memory Delayed recall |
Executive Trail making test |
Language Naming of animals Fluency Sentence repetition |
Attention Digit span Serial 7s Vigilance Calculation |
Education in years (Mean± SD) |
|
Full marks |
5 |
1 |
6 |
6 |
|
|
Compliance without MCI (Hc + no MCI) |
4.24 ± .91 |
.45 ± .50 |
5.30 ± .61 |
5.47 ± .68 |
9.66± 4.80 |
|
No compliance without MCI (Hnc + no MCI) |
4.11± .78 |
.67 ± .50 |
5.22 ± .67 |
5.56 ± .88 |
9.33± 5.87 |
|
Normotensive with MCI (NT) |
3.39 ± 1.07 |
.39 ± .49 |
5.14 ± .89 |
4.79 ± 1.315 |
8.93± 5.95 |
|
Compliance with MCI (Hc +MCI) |
3.56 ± 1.45 |
.20± .38 |
4.67 ± .80 |
4.14 ± 1.40 |
3.95± 5.19 |
|
No compliance with MCI (Hnc+ MCI) |
3.46 ± 1.15 |
.18 ± .39 |
4.64 ± .90 |
3.54 ±1.57 |
4.13± 5.30 |
Data is expressed by mean± Standard deviation (SD). p< 0.05 (for group Hc+ no MCI V$ group Hc+ MCI and Hnc+ MCI). p< 0.01 (for group Hc+ no MCI V$ group NT) for memory and attention domain.
DISCUSSION:
As dementia has been reported as early as age 50 years 15 our study enrolled subjects at age ≥ 50. The study population is pre- geriatric with mean age of 59.92± 8.52 years15 and unlikely most of the studies.5,12,30 Advancing age act as a major risk factor for AD (Alzheimer’s Disease).31 A rise can be seen in percentage share of India’s population ages above 60 years from 8 percent in 2010 to 19 percent in 2050. 32 In the current study 46.38% participants did not show compliance to Antihypertensives treatment which is similar (48.7%) in previous studies.30 The present study had a female dominated population (M/F Ratio=19/23) 25 and females found to be more prone of being diagnosed with MCI (Table 2). Women education in India is miserable still hovering at 65% and this rate was just 15% in 1961.34 In the present investigation mean years of education for males was 8.76 years and that of females was 4.73 years. 34.5% of the total participants were illiterate, 52% of women subjects were illiterate whereas men population has an illiteracy rate of 15.79%. Thus, it can be asserted that illiteracy and lack of education were important factors for poor compliance in this study.30
The present investigation similarly showed uniform results, as shown in Table 2, for incident MCI 5, where age was determined to be a risk factor and education to be protective. At a similar education level if we look at the mean age of the MCI subjects of non- compliance group (mean education = 4.13 years) was 60.91±9.13 years and of compliance group (mean education = 3.95yrs) was 64.92±6.62yrs. After adjusting for education, and gender, as well as excluding other contributing factors (as described in exclusion criteria) which could be confounding, the results shows that Hnc subjects had 43% (HR: 0.57, p<0.001) increased risk of MCI prevalence than Hc group that too at an early age. This suggests that noncompliant subjects are more likely to develop MCI early in life and, eventually may lead to dementia. It can be asserted that Antihypertensives appear to protect against the development of cognitive impairment. According to previous studies, therapies capable of postponing the onset of Alzheimer's disease by one year would lower prevalence by 7% in ten years and 9% in thirty years, whereas delaying the onset by five years would reduce prevalence by 40% in ten years and nearly 50% in thirty years.
Many studies have found a considerable impact of vascular factors (such as HTN) to dementia,5,11-15 while others have found to have inconsistent or negative results.16-20 The current study supported an association between hypertension and risk of cognitive impairment. Various earlier studies investigated different duration of hypertension like 2 years,13 some with mean duration of 8.76 ±4.35yrs,30 6.7±5.8 years35 whereas present study had participants with mean duration of HTN = 6.83± 3.34 yrs. MCI incident rates in the Hnc and Hc groups were respectively determined to be 85.94% and 48.65%. This states that hypertensive patients without compliance to antihypertensive drugs are twice more prevalent of developing MCI as compared with compliance group. From different regions of the world, the prevalence of MCI reported varies widely between 3% and 42% 36 whereas various Indian studies reports a rate between 15% and 33%.15,37 Total prevalence rate in present study was 65.94%35 cause of this high prevalence rate may be predominance of various earlier reported predisposing risk factors for MCI viz. HTN,13 advancing age, female gender, illiteracy.35,15,38 According to the available data, compliance30 (Table 2) to antihypertensive medicines as an important predisposing factor which also seems to be neuroprotective.11,12,39 Pre –clinical studies suggest that ARBs may have AD modifying effect and may be neuroprotective via different mechanism like candesartan39 -prevention of glutamate upregulation or downregulation, telmisartan40 -neuroprotective effect via PPAR stimulating activity or valsartan41 -lowers brain β amyloid protein levels. The present study may conclude ARBs as neuroprotective as 45% of compliance group participants are prescribed by ARBs with a significantly better MMSE and MoCA scores.
At a cutoff score 26, the MMSE had a sensitivity of 18 % to detect MCI and 78% to detect mild AD with a 100% specificity, whereas MoCA detected 90% of MCI subjects and in the mild AD group it detected 100%. Specificity was 87% for both,26 we had used a cut off score ≤23 for MMSE.25 The validity of the MoCA in detecting MCI in individuals with AD and other diseases in cognitively impaired patients who scored in the normal range on the MMSE has been proven. The MoCA score of 26 or higher considered as normal. If we look at the means of MMSE score and of MoCA score (Table 3) it can be seen a noticeable higher mean of group Hc than of both group Hnc and group NT. The above results conclude that HTN is a risk factor for MCI 13 and points in direction of neuroprotective role of antihypertensive medicines.11,12 Statistical significances of above results can be seen in Table 3.
TMT-A was used to assess attention by the number of seconds needed to sequence numbers using a pencil (Table 3).11,13 Regarding DS-backward score, the compliance group had the longest repeated sequence of 6 (level 6) while Hnc or NT group subjects scored maximum up to level 5 (Table4).11,13 BVRT records either a yes or no response. In group Hc 50% subjects responded a “yes” while group Hnc reported 28.1% responded a “yes”. Analyzing the scores of BVRT, DS, TMT-A exhibits that compliance towards antihypertensive drugs is necessary for a better cognitive performance. DS scoring points towards a neuroprotective role of anti-hypertensive drugs as only compliance group scored up to level 6 with no “zero” score in subjects of group Hc+ no MCI. No significant difference (p=0.07, 95% CI: -0.019 to 0.375) for serum creatinine values between compliance and non-compliance group was observed, this could be because the current study excluded CKD subjects and earlier reports state that older people with vascular burden, only chronic kidney disease (CKD stage 4), but not mild to modest kidney disease (CKD stage 3a and b), seem to be associated with cognitive impairment at baseline and cognitive decline over time.42
The current study emphasizes the significance of adherence to antihypertension medications in lowering the prevalence of cognitive impairment in a susceptible cohort of elderly hypertensive participants and further demonstrating a neuroprotective role of antihypertensive medications.40 In the lack of disease modifying pharmacotherapeutics options, the prevalence of dementia may be decreased by controlling the risk factors by showing compliance to the prescribed medications and by diagnosing the dementia in their earlier stages (viz. MCI). According to our knowledge, this study is the first from north- west India to integrate all the aforementioned cognitive evaluation tests and investigate the neuroprotective effects of compliance to antihypertensive medication. To reduce the sampling errors, we have selected a less variable population. Above study focused on hypertension, and tried to exclude other co morbidities. Additionally, rather than a single baseline reading we took average of B.P. measurements as well as past recordings was concerned.
A larger study sample in the future will be helpful as it will give an accurate representation of the entire population under study. Further biochemical markers are needed to be observed to rule out the neuroprotective pathway of Antihypertensives and to find out parameters for early diagnosis of dementia. Future research in this area can be conducted by replicating the current study with other Indian populations.
CONCLUSION:
According to above study, non-compliance with Antihypertensives has a deleterious effect on cognition and doubles the risk of acquiring MCI. Advancing age, female gender and low literacy rate found to be predisposing factors for MCI whereas education and compliance to Antihypertensives was protective.
ACKNOWLEDGEMENT:
The author acknowledges the organizational help and support provided by Dr. Kamal Kishore (MD Medicine) and Dr. Sandeep Suri (MD Medicine). We would also like to thank all participating subjects and caregivers for their cooperation.
CONFLICT OF INTEREST:
None declared.
REFERENCES:
1. Gauthier S, et al. International Psychogeriatric Association Expert Conference on mild cognitive impairment. Mild cognitive impairment. Lancet. 2006; 367: 1262–70. https://doi.org/10.1016/S0140-6736(06)68542-5
2. The ICD 10 classification of mental and behavioural disorders: Clinical description and diagnostic guidelines. In: F00-F09 organic, including symptomatic, mental disorder World Health Organization, Geneva. Printed in Switzerland. 1992; PP45- 56
3. Kalaria RN, et al. Alzheimer’s disease and vascular dementia in developing countries: prevalence, management, and risk factors. The Lancet Neurology. 2008; 7: 812–26. DOI: 10.1016/S1474-4422(08)70169-8
4. Prince MJ, et al. World Alzheimer Report 2015- The global impact of dementia: An analysis of prevalence, incidence, cost and trends. London: Alzheimer’s Disease International. 2015: 84
5. Solfrizzi V, et al. Vascular risk factors, incidence of MCI, and rates of progression to dementia. Neurology. 2004; 63(10): 1882–91. doi: 10.1212/01.wnl.0000144281.38555.e3
6. Lim SS, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012; 380: 2224–2260. doi: 10.1016/S0140-6736(12)61766-8
7. Tzourio C, et al. Is hypertension associated with an accelerated aging of the brain? Hypertension. Lippincott Williams and Wilkins. 2014; 63: 894–903. doi: 10.1161/HYPERTENSIONAHA.113.00147
8. Ong KL, et al. Prevalence, awareness, treatment, and control of hypertension among United States adults 1999-2004. Hypertension. 2007; 49(1): 69–75. doi: 10.1161/01.HYP.0000252676.46043.18
9. Hughes D, et al. Association of Blood Pressure Lowering with Incident Dementia or Cognitive Impairment: A Systematic Review and Meta-analysis. JAMA. 2020; 323: 1934–44. doi: 10.1001/jama.2020.4249
10. Chen C, Zissimopoulos JM. Racial and ethnic differences in trends in dementia prevalence and risk factors in the United States. Alzheimer’s and Dementia: Translational Research and Clinical Interventions. 2018; 4: 510–20. doi: 10.1016/j.trci.2018.08.009
11. Wharton W, et al. Modulation of renin-angiotensin system may slow conversion from mild cognitive impairment to Alzheimer’s disease. J Am Geriatr Soc. 2015; 63(9): 1749–56. doi: 10.1111/jgs.13627
12. Barthold D, et al. Association of combination statin and antihypertensive therapy with reduced Alzheimer’s disease and related dementia risk. PLoS ONE. 2020; 15(3): 1-15. doi: 10.1371/journal.pone.0229541
13. Goldstein FC, et al. High blood pressure and cognitive decline in mild cognitive impairment. J Am Geriatr Soc. 2013; 61(1): 67–73. doi: 10.1111/jgs.12067
14. Li J, Wang YJ, et al. Vascular risk factors promote conversion from mild cognitive impairment to Alzheimer disease. Neurology. 2011; 76: 1485–1491. doi: 10.1212/WNL.0b013e318217e7a4
15. Das SK, et al. An epidemiologic study of mild cognitive impairment in Kolkata, India. Neurology. 2007; 68: 2019–2026. doi: 10.1212/01.wnl.0000264424.76759.e6
16. de Jong-Schmit BEM, et al. Blood pressure, antihypertensive medication and neuropsychiatric symptoms in older people with dementia: The COSMOS study. International Journal of Geriatric Psychiatry. 2021; 36(1): 46–53. doi: 10.1002/gps.5388
17. Diener HC, et al. Effects of aspirin plus extended-release dipyridamole versus clopidogrel and telmisartan on disability and cognitive function after recurrent stroke in patients with ischaemic stroke in the Prevention Regimen for Effectively Avoiding Second Strokes (PRoFESS) trial: a double-blind, active and placebo-controlled study. The Lancet Neurology. 2008; 7 (10): 875–84. doi: 10.1016/S1474-4422(08)70198-4
18. Bosch J, et al. Effects of blood pressure and lipid lowering on cognition: Results from the HOPE-3 study. Neurology. 2019; 92(13): E1435–46. doi: 10.1212/WNL.0000000000007174
19. Goins RT, et al. Cardiometabolic Conditions and All-Cause Dementia Among American Indian and Alaska Native People. Journals of Gerontology - Series A Biological Sciences and Medical Sciences. 2022; 77(2): 323–30. doi: 10.1093/gerona/glab097
20. Farron MR, et al. Hypertension and Cognitive Health Among Older Adults in India. J Am Geriatr Soc. 2020; 68(S3): S29–35. doi: 10.1111/jgs.16741.
21. Kearney PM, et al. Articles Introduction Global burden of hypertension: analysis of worldwide data. Lancet. 2005; 365: 217–23. doi: 10.1016/S0140-6736(05)17741-1.
22. Higuchi M, et al. Mid-life proteinuria and late-life cognitive function and dementia in elderly men: The Honolulu-Asia aging study. Alzheimer Dis Assoc Disord. 2015; 29: 200–5. doi: 10.1097/WAD.0000000000000082.
23. De Oliveira FF, et al. Pharmacogenetic effects of angiotensin-converting enzyme inhibitors over age-related urea and creatinine variations in patients with dementia due to Alzheimer disease. Colombia Médica. 2016; 47. PMID: 27546928; PMCID: PMC4975126.
24. Morris JC, et al. The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD). Part I. Clinical and neuropsychological assessment of Alzheimer’s disease. Neurology 1989; 39: 1159-1165. DOI: 10.1212/wnl.39.9.1159
25. Folstein MF, et al. “Mini-Mental State” A practical method for grading the cognitive state of patients for the clinicians. J. Psychiat. Res. 1975; 12: 189-198. doi: 10.1016/0022-3956(75)90026-6
26. Nasreddine ZS, et al. The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005; 53: 695–699. doi: 10.1111/j.1532-5415.2005.53221.x
27. Sivan, AB. Benton Visual Retention Test. 5th Edition. San Antonio, TX: The Psychological Corporation. 1992
28. Orsini A, et al. Verbal and spatial immediate memory span: Normative data from 1355 adults and 1112 children. J. Neurol. Sci. 1987; 8: 539-548. doi: 10.1007/BF02333660.
29. Reitan RM. Validity of the trail making test as an indicator of organic brain damage. Perceptual and Motor Skills. @ Southern Universities Press. 1958; 8. https://doi.org/10.2466/pms.1958.8.3.271
30. Dhikav V, et al. Medication adherence survey of drugs useful in prevention of dementia of Alzheimer’s type among Indian patients. International Psychogeriatrics. 2013; 25(9): 1409–13. doi: 10.1017/S1041610213000744
31. Flier WM, Scheltens P. Epidemiology and risk factors of dementia. J Neurol Neurosurg Psychiatry. 2005; 76 (Suppl V):v2–v7. doi: 10.1136/jnnp.2005.082867.
32. United Nations, Department of Economic and Social Affairs, Population Division World Population Prospects. 2019, Volume II: Demographic Profiles
33. Brookmeyer R, et al. Projections of Alzheimer’s Disease in the United States and the Public Health Impact of Delaying Disease Onset. Am J Public Health. 1998; 88(9): 1337–1342. doi: 10.2105/ajph.88.9.1337.
34. Census provisional population totals. The Registrar General & Census Commissioner, India. Retrieved 14 February 2013. https://doi.org/10.53555/sshr.v3i4.1962
35. Mehra A, et al. Association of mild cognitive impairment and metabolic syndrome in patients with hypertension. Asian Journal of Psychiatry. 2020; 53. doi: 10.1016/j.ajp.2020.102185
36. Ward A, et al. Mild cognitive impairment: Disparity of incidence and prevalence estimates. Alzheimer’s and Dementia. 2012; 8(1): 14–21. doi: 10.1016/j.jalz.2011.01.002.
37. Mohan D, et al. A cross-sectional study to assess prevalence and factors associated with mild cognitive impairment among older adults in an urban area of Kerala, South India. BMJ Open. 2019; 9(3): 9:e025473. doi: 10.1136/bmjopen-2018-025473.
38. Krishnamoorthy Y, et al. Screening for mild cognitive impairment among noncommunicable disease patients attending a rural primary health center in Puducherry, South India. Journal of Natural Science, Biology and Medicine. 2019; 10(1): 77–81. http://dx.doi.org/10.4103/jnsbm.JNSBM_90_18
39. Elkahloun AG, et al. An integrative genome-wide transcriptome reveals that candesartan is neuroprotective and a candidate therapeutic for Alzheimer’s disease. Alzheimer’s Research and Therapy. 2016; 8(5): 1-18. https://doi.org/10.1186%2Fs13195-015-0167-5.
40. Tsukuda K, et al. Cognitive Deficit in Amyloid- β–Injected Mice Was Improved by Pretreatment With a Low Dose of Telmisartan Partly Because of Peroxisome Proliferator-Activated Receptor-γ Activation. Hypertension. 2009; 54: 782-787. doi: 10.1161/Hypertensionaha.109.136879.
41. Wang J, et al. Valsartan lowers brain β-amyloid protein levels and improves spatial learning in a mouse model of Alzheimer disease J Clin. Invest. 2007; 117: 3393–3402. doi: 10.1172/JCI31547.
42. Zijlstra LE, et al. The association of kidney function and cognitive decline in older patients at risk of cardiovascular disease: a longitudinal data analysis BMC Nephrology. 2020; 21. doi: 10.1186/s12882-020-01745-5.
Received on 01.02.2024 Modified on 20.05.2024
Accepted on 22.07.2024 © RJPT All right reserved
Research J. Pharm. and Tech 2024; 17(11):5201-5209.