Endocrinology & Diabetes ResearchISSN: 2470-7570

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Research Article, Endocrinol Diabetes Res Vol: 8 Issue: 4

Correlation of Cognitive Impairment with Glycemic Control in Type 2 Diabetes Mellitus Patients

Syed Mehmood-ul-Hassan1*, Muhammad Hatim2, Adnan Hashim2, Muhammad Imran chohan2, Umair Asghar3and Yasir Hanif4

1Department of Endocrinology, Consultant physician and Fellow Endocrinologist, Services Hospital Lahore, Pakistan

2Department of Endocrinology, Services Hospital Lahore, Lahore, Pakistan

3Department of Cardiology, Punjab Institute of Cardiology, Punjab, Pakistan

4Department of Endocrinology, THO Hospital Sarae Alamgeer Gujrat, Pakistan

Corresponding Author:Dr Syed Mehmood-ul-Hassan
Department of Endocrinology, Consultant physician and Fellow Endocrinologist, Services Hospital Lahore, Pakistan
E-mail: syedpako_1@yahoo.com

Received date: 04 April 2022, Manuscript No. ECDR-22-57028;
Editor assigned date: 08 April, 2022, Pre QC No. ECDR-22-57028 (PQ);
Reviewed date: 18  April 2022, QC No. ECDR-22-57028;
Revised date: 25 April 2022, Manuscript No: ECDR-22-57028 (R);
Published date: 04 May 2022, DOI: 10.4172/ 2470-7570.1000316.

Citation:Mehmood-ul-Hassan S, Hatim M, Hashim A, Chohan MI, Asghar U, et al (2022) Correlation of Cognitive Impairment with Glycemic Control in Type 2 Diabetes Mellitus Patients. Endocrinol Diabetes Res 8:4.

Abstract

Background: Diabetes Mellitus 2 leads to cognitive impairment in later stages of life which effects quality of life of patients. Despite of increasing evidence of cognitive disorders especially Mild Cognitive Impairment (MCI), limited local literature is available.

Material and Methods: This cross-sectional study was done in endocrinology outpatient department for a period of 6 months on 352 patients through non- probability, consecutive sampling. All data was entered in SPSS version 25, mean ± S.D were used for quantitative data whereas frequency and percentages were used for categorical data. means of age (years), HbA1c, fasting and postprandial blood sugar levels and duration (years) were compared using independent sample t-test in normal and MCI groups. Pearson correlation was used to find relationship of Montreal Cognitive Assessment (MoCA) score with age, HbA1c, fasting and postprandial blood sugar levels and duration. P-value ≤ 0.05 was considered as significant.

Results: There were 200 (56.8%) male and 152 (43.2%) female patients with mean age of 56.72 years. The mean HbA1c score was 7.95 ± 0.591, mean fasting blood sugar level was 198.76 ± 35.54 and mean postprandial blood sugar level was 257.83 ± 32.89. Among all, 224 (63.6%) patients were MCI and MoCA score was significantly correlated with HbA1c, mean fasting blood sugar level and mean postprandial blood sugar level (p-values<0.000).

Conclusion: This study concludes that patients with diabetes mellitus 2 are at high risk of developing of the mild cognitive of impairment. HbA1c, longer duration of disease, and fasting of blood sugar level were negatively correlated with MoCA score.

Keywords: Diabetes mellitus; Fasting blood sugar; Dementia; Cognitive impairment; MoCA

Introduction

Diabetes Mellitus (DM) 2 is one of the most prevalent diseases around the globe with considerably high rates of patient mortality and morbidity [1].Fortunately, due to latest advents in medical technology, the survival rate with DM2 has increased. However, due to chronic DM2 status, alongwith age, and other associated comorbidities, the complications of DM have subsequently increased as well. Literature has reported a number of neurological disorders associated with DM2 [2]. The incidence of cognitive dysfunction is a commonly reported problem among DM2 patients as well. Both hypoglycemia and hyperglycemia have been implicated as causes of cognitive dysfunction, and many patients fear that recurrent hypoglycemia will impair their memory over time [3]. The cause of cognitive dysfunction during diabetes in aging population usually involves degenerative and ischemic pathology [4].

Diabetes may affect cognitive abilities such as problem solving, forgetfulness, hindering routine activities and issues in feeling basic instincts such as hunger and thirst. One cohort study followed up patients for 20-year and concluded that diabetes caused 19% greater cognitive dysfunction over 20-year period [5,6]. One of the common disorders reported in dementia [7]. Type 2 diabetes is associated with approximately a 1.5- to 2.5-fold increase in the risk of dementia. Another study stated that risk of Alzheimer’s Disease (AD), loss of verbal memory and vascular dementia are increased in DM2 patients. Hence determining cognitive dysfunction is inevitable for effective diabetes management [8,9].

Longer disease duration and poor control of disease are generally related to higher risk of cognitive decline in late life [10]. Therefore, cognitive dysfunction should be detected in early stages to decline progression and carry proper diabetes management. Researchers prefer tools like Montreal Cognitive Assessment (MoCA), Mini Mental State Examination (MMSE), Hopkins verbal learning test, clock-drawing test and Addenbrooke's cognitive examination-revised for this purpose [11]. During past three decades Mini-Mental Status examination (MMSE) was considered best screening tool to assess cognitive impairment, but for clinical setting some other sensitive test are also required to detect mild cognitive impairment [12,13]. For this purpose other assessment tests have also been made to assess mild cognitive impairment [14]. Among these tests, Montreal Cognitive Assessment (MoCA) has been recognized to assess MCI, but till now MoCA is not yet validated for patients with DM [15].

Although recent literature has stressed the importance of early screening of cognitive impairment in DM2 patients, very limited studies have been conducted both locally and internationally to see the effectiveness of screening tools like MoCA for this purpose. Therefore, this study aims to see the correlation of cognitive impairment with glycemic control using MoCA score in DM2 patients.

Materials and Methods

This cross-sectional study was done in endocrinology outpatient department for a period of 6 months on 352 patients. The sample size was calculated using prevalence of 54.29% MCI, with 5% margin of error and 95% confidence level [16]. The data was collected through non- probability, consecutive sampling. All cases with age group 35 years–65 years of either gender were taken. Patients who were illiterate, who had significant hearing or visual impairment, with acute illness, with known psychiatric illness, Alzheimer's Disease (AD), epilepsy, stroke, and those who were unable to consent for participation were excluded from the study.

An informed consent was taken prior to collect their data. Demographic information (name, age and gender), HbA1c, fasting and postprandial blood sugar levels and duration of diabetes mellitus were taken. The Montreal Cognitive Assessment (MoCA) screening tool was used to assess their Mild Cognitive Impairment (MCI) status. Patients with MoCA score <26 MCI were considered MCU and those with ≥ 26 score were considered to have Normal Cognition (NC). All data was entered in SPSS version 25, mean ± S.D were used for quantitative data whereas frequency and percentages were used for categorical data. Means of Age (years), HbA1c, fasting and postprandial blood sugar levels and duration (years) were compared using independent sample t-test in normal and MCI groups. Pearson correlation was used to find relationship of MoCA score with age, HbA1c, fasting and postprandial blood sugar levels and duration. P-value ≤ 0.05 was considered as significant.

Results

A total of 352 patients were included in this study. There were 200 (56.8%) male and 152 (43.2%) female patients with mean age of 56.72 years. The mean HbA1c score was 7.95 ± 0.591, mean fasting blood sugar level was 198.76 ± 35.54 and mean postprandial blood sugar level was 257.83 ± 32.89. The mean duration of disease among all patients was 8.98 ± 4.27 years.

The mean MoCA score was 25.41 ± 2.62 with minimum and maximum scores as 18.00 and 30.00 respectively. When categorized for Mild Cognitive Impairment (MCI) and normal, it was found that 224 (63.6%) patients were MCI and only 128 (36.4%) were normal. The average levels of all HbA1c, mean fasting blood sugar level and mean postprandial blood sugar level were high in MoCA group compared to normal group (p-values<0.000 for all). Similarly MoCA score was significantly correlated with HbA1c, mean fasting blood sugar level and mean postprandial blood sugar level (p-values<0.000) (Tables 1-3).

Age HbA1c Fasting blood sugar levels Postprandial blood sugar levels Duration of DM (years) MOCA
Mean 56.719 7.95 198.76 257.84 8.98 25.41
S.D 5.0245 0.59 35.55 32.89 4.23 2.62
Minimum 48 7 140 200 2 18
Maximum 65 9 260 310 16 30

Table 1: Descriptive statistics of Age, HbA1c, Fasting blood sugar levels, postprandial blood sugar levels, duration (years) and MOCA.

MCI Mean S.D t-test p-value
Age (years) Normal 57.26 4.88 1.524 0.128
MCI 56.41 5.09
HbA1c Normal 7.65 0.55 -7.960 <0.001**
MCI 8.13 0.54
Fasting blood sugar levels Normal 181.84 35.07 -7.230 <0.001**
MCI 208.43 32.09
Postprandial blood sugar levels Normal 241.48 32.39 -7.599 <0.001**
MCI 267.18 29.39
Duration (years) Normal 8.59 4.41 -1.307 0.192
MCI 9.21 4.12

Table 2: Comparison of age (years), HbA1c, fasting blood sugar levels, postprandial blood sugar levels and duration (years) ** Highly significant.

MOCA
HbA1c Pearson Correlation -0.43**
p-value <0.001
Fasting blood
sugar levels
Pearson Correlation -0.47**
p-value <0.001
Postprandial blood
sugar levels
Pearson Correlation -0.48**
p-value <0.001
Duration
(years)
Pearson Correlation -0.03
p-value 0.58

Table 3: Correlation between HbA1c with Fasting blood sugar levels, Postprandial blood sugar levels, Duration (years) and MOCA.

Discussion

Diabetes Mellitus is a critical public health related issues, due to both risk of morbidities attached with it as well as the complications arising due to, or along with its chronic status. Cognitive impairments have been reported in recent literature in DM2 patients particularly the older ones [17]. Commonly reported cognitive disorders include mild to severe dementia, vascular dementia, Alzheimer’s disease and loss of verbal or functional memory. Although the potential causes of the cognitive problems are multifactorial, and glycemic control has been recently stated as the common most one [18,19]. Despite of increasing incidence of MCI in DM2 patients, local literature in this regard is very scarce, which is why this study was planned [20,21].

In this study, 200 (56.8%) male and 152 (43.2%) female patients with mean age of 56.72 years were included. The patients had the mean duration of disease as 8.98 ± 4.27 years. Another study conducted on 269 DM2 patients reported that according to MoCA score 80.3% had cognitive impairment while 33.8% had severe impairment. The patients with elderly females with low educational level, long duration of DM, as well as lower socio-demographic status were more at risk of developing cognitive impairment. Similarly another study stated that among the 194 diabetic subjects interviewed, 98 (50.5%) were cognitively impaired. More than half of the subjects (56.2%) were ≥ 65 years, and female participants (53.6%) outnumbered males (46.4%) [22]. The majority of patients (62.4%) had had diabetes for <10 years. It is therefore evident that age, gender and duration of disease are important factors to increase risk of MCI in diabetic patients [23].

In our study, it was found that 224 (63.6%) patients were MCI and only 128 (36.4%) were normal. The average levels of all HbA1c, mean fasting blood sugar level and mean postprandial blood sugar level were high in MoCA group compared to normal group (p-values<0.000 for all). Similarly MoCA score was significantly correlated with HbA1c, mean fasting blood sugar level and mean postprandial blood sugar level (p-values<0.000). Another study patients with MoCA scores ≥26 were considered to have Normal Cognition (NC) and those with <26 MCI. MCI was noted in 38 (54.29%) type 2 diabetes mellitus patients and NC in 32 (45.71%). Those with MCI had higher HbA1c (8.79 ± 1.85 vs. 7.78 ± 1.60), higher FBS (177.05 ± 62.48 vs. 149.38 ± 54.38), and PPBS (282.03 ± 85.61 vs. 214.50 ± 82.43), which were statistically significant. One quantitative meta-analysis showed that subjects with diabetes had higher risk for AD (Relative Risk (RR):1.46, 95% confidence interval (CI): 1.20–1.77), VD (RR: 2.48, 95% CI: 2.08–2.96), any dementia (RR: 1.51, 95% CI: 1.31–1.74) and MCI (RR: 1.21, 95% CI: 1.02–1.45) than those without [16]. The quantitative meta-analysis showed that diabetes was a risk factor for incident dementia (including AD, VD and any dementia) and MCI [24].

Hence, given the present findings, clinicians working with patients with type 2 diabetes should be alerted to the possibility of cognitive changes that could impact type 2 diabetes treatment management or require referral for neuropsychological assessment [3,25].

Conclusion

This study concludes that patients with diabetes mellitus 2 are at high risk of developing mild cognitive impairment. HbA1c, longer duration of disease, and fasting blood sugar level were negatively correlated with MoCA score. Hence MoCA score is a reliable, easy to use and efficient tool to assess level of MCI in diabetic patients and should be adapted for early screening of patients for better and timely management.

References

  1. Yakaryilmaz FD, Öztürk ZA (2017) Treatment of type 2 diabetes mellitus in the elderly. World J Diabetes 8:278.

    [Crossref] [Google Scholar] [Indexed]

  2. Zhuo X, Zhang P, Barker L, Albright A, Thompson TJ, et al. (2014) The lifetime cost of diabetes and its implications for diabetes prevention. Diabetes care 37:2557-64.

    [Crossref] [Google Scholar] [Indexed]

  3. Zilliox LA, Chadrasekaran K, Kwan JY, Russell JW (2016) Diabetes and cognitive impairment. Curr Diab Rep 16:1-11.

    [Crossref] [Google Scholar] [Indexed]

  4. Shaikh FA, Bhuvan K, Htar TT, Gupta M, Kumari Y (2019) Cognitive dysfunction in diabetes mellitus. Type 2 diabetes-from pathophysiology to modern management: Intechopen.

    [Crossref] [Google Scholar]

  5. Munshi MN (2017) Cognitive dysfunction in older adults with diabetes: What a clinician needs to know. Diabetes Care 40:461-7.

    [Crossref] [Google Scholar] [Indexed]

  6. Karczewska Â, Kupczewska M, Lelental N, Adamska A, Nikoajuk A, Kowalska I, et al. (2013) The influence of insulin infusion on the metabolism of amyloid β peptides in plasma. Alzheimers Dement 9:400-5.

    [Crossref] [Google Scholar] [Indexed]

  7. Feinkohl I, Price JF, Strachan MW, Frier BM (2015) The impact of diabetes on cognitive decline: Potential vascular, metabolic, and psychosocial risk factors. Alzheimers Res Ther 7:1-22.

    [Crossref] [Google Scholar] [Indexed]

  8. Exalto L, Whitmer R, Kappele L, Biessels G (2012) An update on type 2 diabetes, vascular dementia and Alzheimer's disease. Exp Gerontol 47:858-64.

    [Crossref] [Google Scholar] [Indexed]

  9. McCrimmon RJ, Ryan CM, Frier BM (2012) Diabetes and cognitive dysfunction. The Lancet. 379:2291-9.

    [Crossref] [Google Scholar] [Indexed]

  10. Rawlings AM, Sharrett AR, Schneider AL, Coresh J, Albert M, et al. (2014) Diabetes in midlife and cognitive change over 20 years: A cohort study. Ann Intern Med 161:785-93.

    [Crossref] [Google Scholar] [Indexed]

  11. Biessels GJ, Whitmer RA (2020) Cognitive dysfunction in diabetes: How to implement emerging guidelines. Diabetologia 63:3-9.

    [Crossref] [Google Scholar] [Indexed]

  12. Velayudhan L, Ryu S-H, Raczek M, Philpot M, Lindesay J, et al. (2014) Review of brief cognitive tests for patients with suspected dementia. Int Psychogeriatr 26:1247-62.

    [Crossref] [Google Scholar] [Indexed]

  13. Sokoowska N, Sokoowski R, Oleksy E, Kasperska P, Klimkiewicz-Wszelaki K, et al. (2020) Usefulness of the polish versions of the Montreal cognitive assessment 7.2 and the mini-mental state examination as screening instruments for the detection of mild neurocognitive disorder. Neurol Neurochir Pol. 54:440-8.

    [Crossref] [Google Scholar] [Indexed]

  14. Tong T, Thokala P, McMillan B, Ghosh R, Brazier J (2017) Cost effectiveness of using cognitive screening tests for detecting dementia and mild cognitive impairment in primary care. Int J Geriatr Psychiatry 32:1392-400.

    [Crossref] [Google Scholar] [Indexed]

  15. Keskin F, Ozyazar M, Pala A, Elmali A, Yilmaz B, et al. (2015) Evaluation of cognitive functions in gestational diabetes mellitus. Exp Clin Endocrinol Diabetes 123:246-51.

    [Crossref] [Google Scholar] [Indexed]

  16. Lalithambika CV, Arun CS, Saraswathy LA, Bhaskaran R (2019) Cognitive impairment and its association with glycemic control in type 2 diabetes mellitus patients. Indian J Endocrinol Metab 23:353.

    [Crossref] [Google Scholar] [Indexed]

  17. Kawamura T, Umemura T, Hotta N (2012) Cognitive impairment in diabetic patients: Can diabetic control prevent cognitive decline?. J Diabetes Investig 3:413-23.

    [Crossref] [Google Scholar] [Indexed]

  18. Whitmer RA (2007) Type 2 diabetes and risk of cognitive impairment and dementia. Curr Neurol Neurosci Rep 7:373-80.

    [Crossref] [Google Scholar] [Indexed]

  19. Albai O, Frandes M, Timar R, Roman D, Timar B (2019) Risk factors for developing dementia in type 2 diabetes mellitus patients with mild cognitive impairment. Neuropsychiatr Dis Treat 15:167.

    [Crossref] [Google Scholar] [Indexed]

  20. Mahakaeo S, Zeimer H, Woodward M (2011) Relationship between glycemic control and cognitive function in patients with type 2 diabetes in a hospital aged care unit. European Geriatric Medicine 2:204-7.

    [Crossref] [Google Scholar]

  21. Cukierman-Yaffe T, Gerstein HC, Williamson JD, Lazar RM, Lovato L, et al. (2009) Relationship between baseline glycemic control and cognitive function in individuals with type 2 diabetes and other cardiovascular risk factors: The action to control cardiovascular risk in diabetes-memory in diabetes (ACCORD-MIND) trial. Diabetes care 32:221-6.

    [Crossref] [Google Scholar] [Indexed]

  22. Naguib R, Soliman ES, Neimatallah FM, AlKhudhairy NS, ALGhamdi AM, et al (2020) Cognitive impairment among patients with diabetes in Saudi Arabia: A cross-sectional study. Middle East Current Psychiatry 27:1-11.

    [Crossref] [Google Scholar]

  23. Yerrapragada DB, Rao CR, Karunakaran K, Lee HSE (2019) Cognitive dysfunction among adults with type 2 diabetes mellitus in Karnataka, India. Ochsner J 19:227-34.

    [Crossref] [Google Scholar]

  24. Cheng G, Huang C, Deng H, Wang H (2012) Diabetes as a risk factor for dementia and mild cognitive impairment: A meta analysis of longitudinal studies. Intern Med J 42:484-91.

    [Crossref] [Google Scholar] [Indexed]

  25. Monette MC, Baird A, Jackson DL (2014) A meta-analysis of cognitive functioning in nondemented adults with type 2 diabetes mellitus. Can J Diabetes 38:401-8.

    [Crossref] [Google Scholar] [Indexed]

international publisher, scitechnol, subscription journals, subscription, international, publisher, science

Track Your Manuscript

Awards Nomination

Media Partners