Yorke et al. BMC Psychiatry (2020) 20:143 https://doi.org/10.1186/s12888-020-02570-8 RESEARCH ARTICLE Open Access Comparison of neurocognitive changes among newly diagnosed tuberculosis patients with and without dysglycaemia Ernest Yorke1*, Vincent Boima1, Ida Dzifa Dey1, Vincent Ganu2, Norah Nkornu3, Kelvin Samuel Acquaye4 and C. Charles Mate-Kole3,5,6 Abstract Background: Diabetes often occurs together with tuberculosis (TB) and both may affect each other negatively. Diabetes may be associated with neurocognitive dysfunctioning in affected patients and may negatively impact treatment adherence and outcomes. This study compared the neurocognitive status between newly diagnosed smear positive tuberculosis patients with dysglycaemia and those with normoglycaemia. Methods: The current study was a cross-sectional study involving one hundred and forty-six (146) newly diagnosed smear positive TB patients. Oral glucose tolerance test (OGTT) was performed and the results were categorized as either normoglycaemia, impaired glucose tolerance (IGT), impaired fasting glucose (IFG) or diabetes. Neurocognitive functioning among study participants was assessed at the time of TB diagnosis using Cognitive Failure Questionnaire (CFQ), Montreal Cognitive Assessment tool (MoCA), California Verbal Learning Test (CVLT), Brief Symptom Inventory (BSI) and the Spitzer Quality of Life Index (QLI). Results: The mean age of the participants (n = 146) was 38.7 years with 78.8% being males and 21.2% females. Using the fasting blood glucose test, the prevalence of impaired fasting glucose and diabetes were 5.5 and 3.4% respectively, both representing a total of 13 out of the 146 participants; whilst the prevalence of impaired glucose tolerance and diabetes using 2-h post-glucose values were 28.8 and 11.6% respectively, both representing a total of 59 out of the 146 participants. There were no significant differences in the mean scores on the neurocognitive measures between the dysglaycaemia and normoglycamic groups using fasting plasma glucose (FPG). However, there were significant differences in the mean scores between the dysglycaemia and normal groups using 2-h postprandial (2HPP) glucose values on Phobic Anxiety (Normal, Mean = 0.38 ± 0.603; dysglycaemia, Mean = 0.23 ± 0.356; p = 0.045), and Montreal Cognitive Assessment (MoCA) scores (17.26 ± 5.981 vs. 15.04 ± 5.834, p = 0.037). Conclusion: Newly diagnosed smear positive patients with dysglycaemia were associated with significantly lower mean cognitive scores and scores on phobic anxiety than those with normoglyacaemia. The latter finding must be further explored. Keywords: Tuberculosis, Smear positive, Dysglycaemia, Neuropsychological disorders * Correspondence: pavlovium@yahoo.com 1Department of Medicine & Therapeutics, School of Medicine & Dentistry, College of Health Sciences, University of Ghana, Legon, Accra, Ghana Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Yorke et al. BMC Psychiatry (2020) 20:143 Page 2 of 7 Background Methods A lot of effort continues to be made to reduce the Study site and design worldwide incidence, morbidity and mortality associated We conducted a hospital based cross-sectional study at with tuberculosis (TB); however it continues to be a the Chest Clinic of the Korle-Bu Teaching Hospital, deadly communicable disease. In 2015, 10.4 million new which is a tertiary care facility and the largest hospital in cases and 1.4 million deaths due to TB were estimated Ghana. The Korle-Bu Chest clinic is the main referral to have occurred by World Health Organisation (WHO) centre in southern Ghana for TB cases and other re- [1]. Many reviews and meta-analysis have reported that spiratory conditions. diabetes increases TB risk by between 1.5 to 7.8 fold [2, 3]. Since developing countries have the greatest burden of Participants and recruitment TB, the expected increase in the prevalence of type 2 Inclusion criteria included TB patients who were newly diabetes in these parts of the world would increase the im- diagnosed smear positive cases and were either initially pact of diabetes on TB [1, 4]. Negative impact of comorbid diagnosed or referred for treatment at the Chest Clinic, diabetes on TB include poor treatment outcomes [2], 18 years and above with no previous history of TB treat- more severe disease and re-activation of dormant tubercu- ment. None of the patients had known pre-existing losis foci [5]. diabetes. Excluded participants were those aged below Tuberculosis (TB) like many chronic diseases is associ- 18 years, those with previous history of TB treatment, ated with a high burden of psychological disorders which patients with smear negative TB, extra pulmonary TB, may have a negative impact on the psychological health, those with previous history of psychological, psychiatric treatment adherence and outcomes [6]. or neurological disorders or those who refused consent. Common psychological disorders among TB patients We used a convenient sampling method to recruit about especially around the time of diagnosis include depres- 3–4 participants on a weekly basis (week days only) who sion, anxiety, in addition to poor quality of life [6]. The met the included criteria. A total of 160 participants reasons for these changes include physiological and were recruited over a 12-month period. physical impact of the disease, stigma and isolation, effects of medications and rigours of keeping appointment and Measurements other negative social impact including loss of income [6]. At enrolment, data on demographic and anthropometric These problems may affect self-esteem and attitudes characteristics such as body mass index (BMI), waist cir- towards disease management including compliance to cumference (WC), hip circumference (HC) and waist- medications and eventually lead to poor disease out- hip-ratio (WHR) as well as medical history were col- come [6]. The association of cognitive impairment lected using standardized questionnaire. with pulmonary TB alone does not appear to be BMI (calculated) was categorized as obese, overweight, strong, although this may be the case among patients normal and underweight with defined values of 30.0 or with systemic spread [7–9]. However, cognitive dys- more, 25–29.9, 18.5–24.9-and less than 18.5 (Kg/m2) re- function has been strongly associated with diabetes, spectively [13]. which may impair self-management activities in many Microscopy using Ziehl-Neelsen (ZN) stain was used patients [10–12]. to determine the presence of acid fact bacilli (AFBs) The negative impact of diabetes on TB, including po- [14]; whilst plasma glucose levels were determined using tential cognitive impairment, coupled with the expected a 75 g oral glucose tolerance test (OGTT). After an over- increases in the prevalence of both diseases is likely to night fast (8 h), ten millilitres (ml) of fasting blood portend bad prognosis in the management of TB pa- sample was taken into fluoridated blood sample tubes tients [1, 2, 4–6]. Unfortunately, developing nations have and centrifuged within 15 min of blood draw after being limited healthcare budgets and resources to deal with kept on ice [15]. After 2 h of the administration of 75 g the expected negative reciprocal impact of diabetes and glucose in 250 ml water a second blood sample was TB on the affected population. taken into fluoride tubes for glucose determination. A Despite the plethora of information on the potential commercial glucose oxidase reagent kits and controls interaction and effect of diabetes on cognitive function (Diasys, GmBH, Germany) was used to determine in general population, there is minimal published data plasma glucose; which were then categorized into nor- about the potential cognitive impact of diabetes and dys- mal glucose levels, impaired glucose tolerance (IGT), im- glycaemia on cognition among TB patients [2, 3, 5, 6]. paired fasting glucose (IFG) and diabetes. This study examined and compared the neurocognitive A FPG and 2HPP values of 6.1–6.9 mmol/l and 7.8– functioning among newly diagnosed smear positive tu- 11 mmol/l diagnosed impaired fasting and glucose toler- berculosis patients at time of diagnosis with dysglycae- ance respectively; whilst FPG and 2HPP are > 7 mmol/l mia and those without. and > 11.1 mmol/l respectively or a person on regular Yorke et al. BMC Psychiatry (2020) 20:143 Page 3 of 7 medication for diabetes was labelled a diabetic. Normal information. It was imported from Microsoft Excel ver- plasma glucose values were defined by FPG and 2HPP sion 2010 following an initial cleaning. values below 6.1 mmol/l and 7.8 mmol/l respectively Socio-demographic, anthropometric, medical history [16]. Using fasting blood glucose values, dysglycaemia and glycaemic variables were summarised descriptively was defined as those with IFG and/or diabetes whilst as means and standard deviations, frequencies and using 2HPP values, it was defined as those with IGT percentages, For the purposes of analysis, dysglycaemia and/or diabetes. All patients diagnosed with any form of (abnormal glucose level) was defined to include the dysglycaemia were referred to diabetes specialists for combined prevalence of impaired fasting glucose and continued care [16]. diabetes (using fasting glucose values) or those with im- Neuropsychological measurement tools include the paired glucose tolerance and diabetes (using 2-h post- Cognitive Failure Questionnaire (CFQ) [17], Montreal prandial values). Mean baseline scores of participants on Cognitive Assessment tool (MoCA) [18], California neurocognitive measures tools were compared using an Verbal Learning Test (CVLT) [19], Brief Symptom independent T-test at baseline between those with dys- Inventory (BSI) [20] and the Spitzer Quality of Life glycaemia and those without using both FBS and 2HPP Index (QLI) [21]. BSI assesses various psychological do- values. The statistical significance levels were set at 5%. mains including depression, anxiety, somatization, para- noid ideation, phobia anxiety, obsessive compulsive behaviour, and interpersonal sensitivity [20]. For the pur- Results poses of this study only depression, anxiety, somatization, One hundred and forty-six (146) participants (78.8% phobia anxiety as well as the Global severity index (GSI) males and 21.2% females) with a mean age of 38.7 years of the BSI [22] were analysed. GSI of the BSI is calculated were involved in the study. Majority (51.37%) of our par- using the sums for the nine symptom dimensions plus the ticipants were single with 36.99% having education up to four additional items not included in any of the dimension Junior High School (JHS) level (Table 1). Fasting blood scores, and dividing by the total number of items to which glucose tests results showed 5.48% had impaired glucose the individual responded. If no items were skipped the levels whilst 3.42% had diabetes (Table 1). 2-h postpran- GSI will be the mean for all 53 items. The mean scores of dial results showed 28.77% had impaired glucose levels the various domains including GSI are interpreted by whilst 11.64% had diabetes (Table 1). comparison to age-appropriate norms [20]. The Spitzer Information on the prevalence of diabetes and dysgly- Quality of Life Index (QLI) [21] rates patient’s well-being caemia in this study shown in Table 1 has been pub- in the areas of health, activity, daily living, outlook and lished earlier and discussed extensively [23]. support. The QLI yields a score that ranges from a high of 10 to a low of 0. The higher one’s score on this measure, the better his or her quality of life. Cognitive Failure Ques- Mean scores on neuropsychological testing tionnaire (CFQ) [17] assesses self-reported cognitive The independent t-test conducted to compare the differ- lapses in perception, memory and misdirected action. The ences in the scores on neurocognitive tests (CFQ, total score on the scale is obtained by adding up the rat- MOCA, and CVLT) between dysglycaemia and those ings of the 25 individual items, yielding a score from 0 to with normal glucose, using FBS showed no significant 100. Score ranges between 0 and 50 is within the average differences between the two groups. scores and reflect normal functioning. Scores above 50 re- However, on the behavioural measures there were flects clinically relevant problems. Montreal Cognitive As- significant differences between those with dysglycae- sessment tool (MoCA) [18] is a widely used screening mia and those without using 2HPP scores, and the assessment for detecting cognitive impairment. MoCA scores of Phobic Anxiety t (150) = 2.025, p = 0.045. scores range between 0 and 30. A score of 26 or over is Participants’ with dysglycaemia had lower scores considered to be normal. compared to those who had normal glucose values CVLT is a measure of verbal learning and memory, (Normal, Mean = 0.38 ± 0.603; dysglycaemia, Mean = which demonstrates sensitivity to a range of clinical condi- 0.23 ± 0.356), Table 2. tions such as recall, cognition and encoding [19]. CVLT The scores on the Montreal Cognitive Assessment short form was used; It consists 9 items and there are no (MOCA) tool showed a significant difference in the cut-offs for normality, however the higher the scores (the mean scores between those with normal vs. dysglycae- number of items one can recall) the better the memory. mia, t (105) =2.112, p = 0.037. Those with dysglycaemia had lower mean scores (Mean = 15.04 ± 5.834) compared Statistical analysis with those with normal glucose (Mean = 17.26 ± 5.981). The Statistical software Stata version 15 was used for the There were no significant differences in the rest of the analysis of data of 146 patients with complete OGTT mean scores for the other tests (Table 2). Yorke et al. BMC Psychiatry (2020) 20:143 Page 4 of 7 Table 1 Background Characteristics of newly diagnosed smear Discussion positive tuberculosis patients at the Chest Clinic of the Korle-Bu In this study, using fasting glucose values, the prevalence Teaching hospital in Accra, Ghana, 2017 of impaired fasting glucose and diabetes were 5.5 and Frequency Percentage 3.4% respectively. Using 2-h post-glucose, the prevalence Age (mean ± SD) 38.70 ± 13.97 of impaired glucose tolerance and diabetes were 28.8 Sex and 11.6% respectively. These prevalence findings have Female 31 21.20 already been published and discussed extensively [23] Male 115 78.80 with similar results compared to other studies [24–26]. Significantly, most of the patients (about 70%) were Highest educational level underweight. TB patients tend to come from low socio- Tertiary 23 15.75 economic background and generally malnourished and O-Level/A-level/SHS 32 21.92 underweight [27]. Weight loss among TB patients may Middle School/ JHS 54 36.99 also be contributed to by the inflammatory response to Primary 14 9.59 infection [28, 29] as well as nausea, loss of appetite and None 13 8.90 vomiting. Other 10 6.85 Marital Status Diabetes and cognition decline among TB patients The 2-h post-glucose values revealed that TB patients Single 75 51.37 with dysglycaemia had a significant lower mean score Married 62 42.47 than those with normal glucose values on MOCA. This Separated/Divorced 9 6.16 implies that dysglycaemia is associated with poorer Employment status cognitive functioning compared to those with normal Unemployed 38 26.03 glucose levels among TB patients. This finding supports Employed 108 73.97 the conclusions from other studies that diabetes predis- Alcohol intake poses to cognitive decline both in humans and animal Yes 22 15.07 models [12, 30–33], and this finding also holds true for our study cohort who had TB and dysglycaemia. Cogni- No 124 84.93 tive decline may negatively affect compliance to the Smoking strict requirements of TB treatment including adherence Yes 10 6.85 to medications which can potentially worsen disease No 136 93.15 outcomes [34]. Weight (mean ± SD) 52.74 ± 8.94 Whiles the pathophysiology of cognitive dysfunction in Height (mean ± SD) 1.68 ± 0.08 diabetes mellitus is putative; hyperglycaemia, vascular BMI disease, hypoglycaemia, and insulin resistance are Above 30 (Obese) 1 0.68 thought to play important roles [35]. Altered cerebral in- sulin and glucose homoeostasis may lead to widespread 25–29.9 (Overweight) 2 1.37 brain microangiopathy [36, 37]. Insulin resistance, a fea- 18.5–24.9 (Normal) 40 27.4 ture of diabetes and prediabetes, increases the formation Below 18.5 (Underweight) 103 70.55 of Advanced Glycation End-products (AGE) leading to Mean ± SD 18.49 ± 3.00 the overproduction of Reactive Oxygen Species (ROS) 2-HPP Glucose (mmol/L) which accelerate biological aging and subsequent cogni- Diabetes (> 11.1) 17 11.64 tive decline [38]. The recognition of cognitive impair- Impaired (7.8–11.1) 42 28.77 ment in the dysglycaemia group in a relatively younger Normal (< 7.8) 87 59.59 patient cohort in our study (average age 38.7 years) might suggest that cognitive impairment that occurs in Mean ± SD 8.35 ± 3.44 patients with dysglycaemia and diabetes in TB patients Fasting Plasma Glucose (mmol/L) probably occurs early on in the disease. This was Diabetes (> 7.1) 5 3.42 supported by a study by Ruis et al. who found out that Impaired (6.1–7) 8 5.48 early on in the course of type 2 diabetes, there is modest Normal (< 6.1) 133 91.1 cognitive decline [39]. Mean ± SD 5.12 ± 1.52 The influence of pulmonary TB alone on cognitive de- SD Standard deviation, DBP Diastolic Blood pressure, SBP Systolic Blood cline does not appear to be strong. A study published in Pressure, 2HPP 2-h postprandial India in 2015 showed that cognitive impairment was sig- nificantly higher among HIV patients with Pulmonary Yorke et al. BMC Psychiatry (2020) 20:143 Page 5 of 7 Table 2 Summary of Independent t-test for 2HPP and neuropsychological measures among newly diagnosed smear positive tuberculosis patients at the Chest Clinic of the Korle-Bu Teaching hospital in Accra, Ghana, 2017 2HPP n M SD t df p Cognitive Failures (CFQ) Normal 93 19.23 13.20 1.25 152 .202 Abnormal 61 16.61 11.86 Somatisation Normal 92 1.27 .81 −.38 152 .704 Abnormal 62 1.32 .77 Anxiety Normal 92 .55 .66 1.53 152 .106 Abnormal 62 .41 .48 Depression Normal 91 .52 .59 .68 151 .477 Abnormal 62 .46 .45 Phobic Anxiety Normal 92 .38 .60 2.03 149.7 .045 Abnormal 62 .23 .36 Perceived Psychological Distress (BSI-GSI) Normal 92 .65 .47 1.21 151.8 .229 Abnormal 62 .58 .30 Total Free Recall Normal 70 20.13 5.83 .87 105 .353 Abnormal 37 19.16 4.65 Short Delay Free Recall Normal 70 5.47 1.96 1.61 105 .120 Abnormal 37 2.12 1.61 Long Delay Free Recall Normal 68 4.76 2.02 1.03 102 .307 Abnormal 36 4.33 2.04 Cognitive Impairment (MOCA) Normal 84 17.26 5.98 2.10 132 .037 Abnormal 50 15.04 5.83 Quality of Life Normal 93 7.20 1.90 1.30 153 .197 Abnormal 62 6.82 1.59 p < .05 (2-tailed), Note: M Mean, SD Standard deviation, df Degree of freedom, BSI Brief Symptom Inventory, GSI Global severity index, MOCA Montreal Cognitive Assessment, Abnormal Dysglyacaemia Tuberculosis than in patients with HIV infection alone for diabetes, and 1.43 for having either prediabetes or [40]. In the setting of non-clinically obvious systemic diabetes [44]. .Another study found modest cognitive de- spread, especially among HIV patients, PTB may impact cline already present at the early stage of type 2 diabetes on neurocognitive function [41, 42] through granuloma- [39]. The results of this study are preliminary and our tous meningeal inflammation with the formation of ex- future study will employ more neuropsychological mea- udate and adhesions, obliterative vasculitis, encephalitis sures and larger numbers to assess various domains of or myelitis or hydrocephalus [7–9]. cognition, and compare any differences between those with overt diabetes and prediabetes. Prediabetes and cognitive decline The dysglycaemia group included TB patients with pre- Phobic anxiety diabetes who scored significant lower scores on cognitive Our study revealed that participants with dysglycaemia tests. In a recent study published in 2017 [43], prediabe- had significantly lower scores on Phobic Anxiety com- tes was associated with lower performance in memory in pared to those who had normal glucose levels. This middle age and but a less steep decline in memory over means that participants with dysglycemia reported less the follow-up period [43]. Also, the Confucius Home- phobic anxiety compared to those with normal glucose town Aging Project, which was a cross-sectional study of levels. This finding however differs from other publica- 1528 participants conducted in Shandong province in tions, which found higher anxiety related symptoms in- China, examined the association of diabetes and predia- cluding phobic anxiety associated with diabetes [45–47]. betes with cognitive impairment and depression among Differences in participant characteristics such as the Chinese elderly people aged ≥60 years. Cognitive impair- relatively young age of subjects and a different setting of ment and depression was found in 24.7 and 20.3% sub- the study may account for the observed differences in jects respectively. The multiple adjusted odds ratio (OR) the findings. This must further be explored in subse- of cognitive impairment was 1.61 for prediabetes, 1.38 quent studies. Yorke et al. BMC Psychiatry (2020) 20:143 Page 6 of 7 Future research Availability of data and materials Future research must include extensive neuropsycho- The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. logical measures to assess various cognitive domains and establish the severity and degree of cognitive decline that Ethics approval and consent to participate may impact treatment outcomes among TB patients. All patients provided written informed consent. Ethical and Protocol Also since social, demographic and sanitary variables are approval for the study was sought from the College of Health Sciences often implicated in psychological issues concerning TB Ethics and Protocol Review Committee of the University of Ghana with reference number URF/9/ILG-076/2015–2016. It complied with the Helsinki patients, these factors could be explored in the future Declaration of 1964 (Revised 2013) on human experimentation. Strict studies as moderators/modulators of neurocognitive confidentiality of data and privacy for study participants were ensured. Data function as well. was kept secured and was available only to the principal investigator. Patients found to have dysglycaemia and/or psychological disorders were referred for further assessment and possible treatment. Conclusion Our study is unique in examining the influence of dys- Consent for publication Not applicable. glyacaemia on cognitive performance among young adults with TB. Newly diagnosed smear positive TB pa- Competing interests tients with dysglycaemia was associated with statistically The authors declare that they have no competing interests. significantly lower mean cognitive scores than those with normal glucose values. Also, patients with abnormal glu- Author details1Department of Medicine & Therapeutics, School of Medicine & Dentistry, cose values was associated with statistically lower mean College of Health Sciences, University of Ghana, Legon, Accra, Ghana. scores on phobic anxiety as compared to those who were 2Department of Medicine, Korle-Bu Teaching Hospital, Accra, Ghana. 3 normoglycaemic; and this finding must be further Department of Psychology, School of Social Sciences, College of Humanities, University of Ghana, Accra, Ghana. 4Department of Social and explored. Behavioural Sciences, School of Public Health, University of Ghana, Accra, The study findings have implications TB management. Ghana. 5Department of Psychiatry, School of Medicine & Dentistry, College of 6 Among newly diagnosed smear positive patients, neuro- Health Sciences, Korle-Bu, Accra, Ghana. Centre for Ageing Studies, College of Humanities, University of Ghana, Accra, Ghana. psychological tests must be performed at diagnosis to ascer- tain the presence or otherwise of any neuropsychological Received: 11 April 2019 Accepted: 25 March 2020 deficits. Any deficits identified should be promptly treated to reduce its impact on the patient as well to improve treat- ment outcomes. It is hoped that this will spur increased References 1. World Health O: Global tuberculosis report 2016. 2016. interest and research on the impact of dysglycaemia on the 2. Stevenson CR, Critchley JA, Forouhi NG, Roglic G, Williams BG, Dye C, Unwin cognitive function on TB patients and its impact on treat- NC. Diabetes and the risk of tuberculosis: a neglected threat to public ment outcomes. health? Chronic Illn. 2007;3(3):228–45. 3. Jeon CY, Murray MB. Diabetes mellitus increases the risk of active tuberculosis: a systematic review of 13 observational studies. PLoS Med. Abbreviations 2008;5(7):0050152. AFB: Acid fact bacilli; BMI: Body mass index; BP: Blood pressure; BSI: Brief 4. International Diabetes Federation. IDF Diabetes Atlas, 8th edn. Brussels: Symptom Inventory; CFQ: Cognitive Failure Questionnaire; CI: Confidence International Diabetes Federation; 2017. Available at www.idf.org/e-library/ Interval; CVLT: California Verbal Learning Test; FPG: Fasting plasma glucose; epidemiology-research/diabetes-atlas/134-idf-diabetes-atlas-8th-edition.html. IGT: Impaired glucose tolerance; MDR: Multidrug resistant tuberculosis; Accessed 9 July 2019. MOCA: Montreal Cognitive Assessment tool; OGTT: Oral glucose tolerance 5. Wilson RM. Infection and diabetes mellitus. In: Pickup JC, Williams G, editors. test; OR: Odds ratio; SD: Standard deviation; QLI: Spitzer Quality of Life Index; Textbook of diabetes. Oxford: Blackwell Scientific Publication; 1991. p. 813–9. TB: Tuberculosis; WHO: World Health Organisation; ZN: Zeihl Neelson; 6. Peltzer K, Naidoo P, Matseke G, Louw J, McHunu G, Tutshana B. Prevalence of 2HPP: 2-Hour Post-prandial glucose psychological distress and associated factors in tuberculosis patients in public primary care clinics in South Africa. BMC Psychiatry. 2012;12(89):12–89. 7. Grant I, Marcotte TD, Heaton RK, Group H. Neurocognitive complications of Acknowledgments HIV disease. Psychol Sci. 1999;10(3):191–5. We also appreciate the contribution of Ama Aidoo and Ernest Amaning- 8. Garg RK. Tuberculous meningitis. Acta Neurol Scand. 2010;122(2):75–90. Kwarteng especially with respect to data collection. 9. Chen H-L, Lu C-H, Chang C-D, Chen P-C, Chen M-H, Hsu N-W, Chou K-H, Lin W-M, Lin C-P, Lin W-C. Structural deficits and cognitive impairment in Authors’ contributions tuberculous meningitis. BMC Infect Dis. 2015;15(1):279. EY conceived the study, participated in its design, data collection, analysis, 10. Munshi MN. Cognitive dysfunction in older adults with diabetes: what a drafted the manuscript and collation of all drafts. VB, IDD, VG, NN, KSA and clinician needs to know. Diabetes Care. 2017;40(4):461–7. CCM contributed to study design, data collection, analysis and manuscript 11. Ott A, Stolk RP, Van Harskamp F, Pols HAP, Hofman A, Breteler MMB. draft. All authors read and approved the final version of the manuscript. Diabetes mellitus and the risk of dementia the Rotterdam study. Neurology. 1999;53(9):1937. 12. Biessels GJ, Staekenborg S, Brunner E, Brayne C, Scheltens P. Risk of Funding dementia in diabetes mellitus: a systematic review. Lancet Neurol. 2006;5(1): This study was mostly funded by a University of Ghana Office of Research, 64–74. Innovation and Development (ORID) grant (Project Reference Number: URF/ 13. Alberti G, Zimmet P, Shaw J, Grundy SM. The IDF consensus worldwide 9/ILG-076/2015–2016). The funds supported the design of the study and definition of the metabolic syndrome. Brussels: Int Diabetes Federation. collection, analysis, and interpretation of data. 2006;23(5):469–80. Yorke et al. BMC Psychiatry (2020) 20:143 Page 7 of 7 14. Eisenach K, Siddiqi S: WHO Mycobacteriology laboratory manual. Available 40. Saad MZ, Rao ER, Archana V. A Study of Cognitive Impairment in HIV-TB Co- at https://www.who.int/tb/laboratory/mycobacteriology-laboratory-manual. Infection. J Dental Med Sci. 2015;14(8 Version VIII):10–3. pdf. Accessed 9 July 2019. 41. Chinyama J, Ngoma MS, Menon AJ, Hestad K, Heaton RK. The effect of 15. Sacks DB, Bruns DF, Goldstein DE, et al. Guidelines and recommendations pulmonary tuberculosis on neurocognitive function in HIV infected adult for laboratory analysis in the diagnosis and management of diabetes patients in Lusaka, Zambia. Med J Zambia. 2016;43(4):199–206. mellitus. Clin Chem. 2002;48(3):436–72. 42. Thomas TY, Rajagopalan S. Tuberculosis and aging: a global health problem. 16. World Health Organization: International Diabetes Federation (2006) Clin Infect Dis. 2001;33(7):1034–9. Definition and diagnosis of diabetes mellitus and intermediate 43. Marseglia A, Dahl Aslan AK, Fratiglioni L, Santoni G, Pedersen NL, Xu W. hyperglycemia: report of a WHO/IDF consultation. IDF consultation 2008. Cognitive trajectories of older adults with Prediabetes and diabetes: a 17. Broadbent DE, Cooper PF, FitzGerald P, Parkes KR. The cognitive failures population-based cohort study. J Gerontol. 2017;73(3):400–6. questionnaire (CFQ) and its correlates. Br J Clin Psychol. 1982;21(Pt 1):1–16. 44. Yan Z, Cai C, Song H, Jiang H, Sun B, Bai B, Qiu C. Association of diabetes 18. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, and prediabetes with cognitive impairment and depression among Chinese Cummings JL, Chertkow H. The Montreal cognitive assessment, MoCA: a elderly people: the Confucius hometown aging project. Alzheimer’s & brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005; Dementia: J Alzheimer’s Assoc. 2012;8(4):313. 53(4):695–9. 45. Grigsby AB, Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. Prevalence 19. Elwood RW. The California verbal learning test: psychometric characteristics of anxiety in adults with diabetes: a systematic review. Diabetes. 2001;50: and clinical application. Neuropsychol Rev. 1995;5(3):173–201. A540. 20. Derogatis LR. BSI, brief symptom inventory: administration, scoring & 46. Lustman PJ. Anxiety disorders in adults with diabetes mellitus. Psychiatr procedures manual: National Computer Systems; 1993. Clin. 1988;11(2):419–32. 21. Spitzer WO, Dobson AJ, Hall J. Measuring the quality of life of cancer 47. Farvid MS, Qi L, Hu FB, Kawachi I, Okereke OI, Kubzansky LD, Willett WC. patients. J Chron Dis. 1981;34:595. Phobic anxiety symptom scores and incidence of type 2 diabetes in US 22. Derogatis LR, Savitz KL. The SCL–90–R and brief symptom inventory (BSI) in men and women. Brain Behav Immun. 2014;36:176–82. primary care; 2000. 23. Yorke E, Boima V, Dey ID, Atiase Y, Akpalu J, Yawson AE, Ganu V, Forson A, Publisher’s Note Mate-Kole CC. Examination of Dysglycaemia among newly diagnosed Springer Nature remains neutral with regard to jurisdictional claims in tuberculosis patients in Ghana: a cross-sectional study. Tuberc Res Treat. published maps and institutional affiliations. 2018;2018:1830372. 24. Ponce-de-Leon A, de Lourdes G-GM, Garcia-Sancho MC, Gomez-Perez FJ, Valdespino-Gomez JL, Olaiz-Fernandez G, Rojas R, Ferreyra-Reyes L, Cano- Arellano B, Bobadilla M. Tuberculosis and diabetes in southern Mexico. Diabetes Care. 2004;27(7):1584–90. 25. Pablos-Mendez A, Blustein J, Knirsch CA. The role of diabetes mellitus in the higher prevalence of tuberculosis among Hispanics. Am J Public Health. 1997;87(4):574–9. 26. Singla R, Khan N, Al-Sharif N, Al-Sayegh MO, Shaikh MA, Osman MM. Influence of diabetes on manifestations and treatment outcome of pulmonary TB patients. Int J Tuberc Lung Dis. 2006;10(1):74–9. 27. Oxlade O, Murray M. Tuberculosis and poverty: why are the poor at greater risk in India? PLoS One. 2012;7(11):e47533. 28. Matthys P, Billiau A. Cytokines and cachexia. Nutrition. 1997;13(9):763–70. 29. van Crevel R, Karyadi E, Netea MG, Verhoef H, Nelwan RHH, West CE, van der Meer JWM. Decreased plasma leptin concentrations in tuberculosis patients are associated with wasting and inflammation. J Clin Endocrinol Metab. 2002;87(2):758–63. 30. Wong RHX, Scholey A, Howe PRC. Assessing premorbid cognitive ability in adults with type 2 diabetes mellitus—a review with implications for future intervention studies. Curr Diab Rep. 2014;14(11):547. 31. Monette MCE, Baird A, Jackson DL. A meta-analysis of cognitive functioning in nondemented adults with type 2 diabetes mellitus. Can J Diabetes. 2014; 38(6):401–8. 32. Palta P, Schneider ALC, Biessels GJ, Touradji P, Hill-Briggs F. Magnitude of cognitive dysfunction in adults with type 2 diabetes: a meta-analysis of six cognitive domains and the most frequently reported neuropsychological tests within domains. J Int Neuropsychol Soc. 2014;20(3):278–91. 33. Grünblatt E, Bartl J, Riederer P. The link between iron, metabolic syndrome, and Alzheimer’s disease. J Neural Transm. 2011;118(3):371–9. 34. Rohde D, Merriman NA, Doyle F, Bennett K, Williams D, Hickey A. Does cognitive impairment impact adherence? A systematic review and meta- analysis of the association between cognitive impairment and medication non-adherence in stroke. PLoS One. 2017;12(12):e0189339. 35. Kodl CT, Seaquist ER. Cognitive dysfunction and diabetes mellitus. Endocr Rev. 2008;29(4):494–511. 36. Gasparini L, Xu H. Potential roles of insulin and IGF-1 in Alzheimer's disease. Trends Neurosci. 2003;26(8):404–6. 37. Craft S, Watson GS. Insulin and neurodegenerative disease: shared and specific mechanisms. Lancet Neurol. 2004;3(3):169–78. 38. Smith MA, Sayre LM, Monnier VM, Perry G. Radical AGEing in Alzheimer’s disease. Trends Neurosci. 1995;18(4):172–6. 39. Ruis C, Biessels GJ, Gorter KJ, Van Den Donk M, Kappelle LJ, Rutten GEHM. Cognition in the early stage of type 2 diabetes. Diabetes Care. 2009;32(7): 1261–5.