Figures
Abstract
Background
The prevalence of type 2 diabetes (DM) has been increasing globally, particularly among older adults who are more susceptible to DM-related complications. Elderly individuals with diabetes are at higher risk of developing hypoglycemia compared with younger diabetes patients. Hypoglycemia in elderly patients can result in serious consequences such as cognitive changes, increased risk of falls, heart and other vascular problems, and even high mortality rate.
Objective
To assess prevalence, and factors associated with hypoglycemia events among geriatric outpatients with type 2 diabetes mellitus.
Methods
The study was conducted at King Abdullah University Hospital (KAUH) at the outpatient diabetes clinic from October 1st, 2022 to August 1st, 2023. Variables such as socio-demographics, medication history, and comorbidities were obtained using electronic medical records. The prevalence of hypoglycemia was determined through patient interviews during their clinic visit. Patients were prospectively monitored for hospital admissions, emergency department visits, and mortality using electronic medical records over a three-month follow-up period. Logistic regression models were conducted to identify factors associated with hypoglycemia and hospital admissions/ emergency visits. Ethical Approval (Reference # 53/151/2022) was obtained on 19/9/2022.
Results
Electronic medical charts of 640 patients who have type 2 diabetes mellitus and age ≥ 60 years were evaluated. The mean age ± SD was 67.19 (± 5.69) years. Hypoglycemia incidents with different severity levels were prevalent in 21.7% (n = 139) of the patients. Insulin administration was significantly associated with more hypoglycemic events compared to other antidiabetic medication. Patients with liver diseases had a significantly higher risk of hypoglycemia, with odds 7.43 times higher than patients without liver diseases. Patients with dyslipidemia also had a higher risk of hypoglycemia (odd ratio = 1.87). Regression analysis revealed that hypoglycemia and educational level were significant predictors for hospital admission and emergency department (ER) visits. Hypoglycemia was a positive predictor, meaning it increased the odds of these outcomes, while having a college degree or higher was associated with reduced odds of hospital admission and ER visits.
Conclusion
Current study identified a considerable prevalence of hypoglycemia among older patients with type 2 diabetes, particularly, among those with concurrent liver diseases and dyslipidemia. Furthermore, hypoglycemia was associated with an increased rate of emergency department visits and hospital admissions by 2 folds in this population.
Citation: Al-Azayzih A, Kanaan RJ, Altawalbeh SM, Alzoubi KH, Kharaba Z, Jarab A (2024) Prevalence and predictors of hypoglycemia in older outpatients with type 2 diabetes mellitus. PLoS ONE 19(8): e0309618. https://doi.org/10.1371/journal.pone.0309618
Editor: Miquel Vall-llosera Camps, PLOS ONE, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
Received: February 21, 2024; Accepted: August 12, 2024; Published: August 29, 2024
Copyright: © 2024 Al-Azayzih et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting information files.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The primary goal of type 2 diabetes management is to maintain normal level of blood glucose (normoglycemia), thus reducing type 2 diabetes-associated health complications including both microvascular and macrovascular problems as well as to improve patients’ health related quality of life (HRQoL) [1, 2]. However, maintaining tight control of blood glucose level is commonly associated with elevated risk of hypoglycemic events [3]. Hypoglycemia is defined as an abnormal low blood glucose level in individuals, usually when blood glucose levels drop below 70 mg/dL (3.9 mmol/L) [1]. Hypoglycemia events are generally developed from intensive use of insulin and certain other antidiabetic medications [3], and presence of certain medical conditions such as liver and renal diseases [4, 5].
Hypoglycemia is for certain associated with significant negative consequences among patients with diabetes impacting their cognitive capabilities [6, 7]. Moreover, hypoglycemia poses an obstacle for optimum control of diabetes, as the patient’s concerns of developing more hypoglycemic episodes would lead to avoidance of taking their insulin and other antihyperglycemic drugs [8]. Also, left untreated hypoglycemia was found to be associated with increased incidence of cardiovascular diseases, hospital admissions, and mortality [9, 10].
Older diabetic patients are more prone to experiencing recurrent hypoglycemic episodes compared to younger patients due to several factors [11]. Firstly, elderly diabetic patients are more likely to present with decline in their physiological functions, resulting in variable response of counterregulatory hormones during hypoglycemic events [12]. Secondly, the complexity of medications regimens and presence of co-existed chronic conditions make it challenging to avoid hypoglycemic events in those patients [11, 13]. Finally, lifestyles factors such as irregular eating habits, decreased appetite, and malnutrition are commonly prevalent among elderly patients which are significantly associated with hypoglycemic occurrence and severity [14].
Despite the well-documented correlation between type I diabetes management and hypoglycemia occurrences, there is still limited reports regarding the actual prevalence, incidence, and predictors of hypoglycemic events among patient with type 2 diabetes, especially the older patients. Older patients with type 2 diabetes who encounter hypoglycemia adverse events tend to seek more frequent visits to emergency department and health care facilities [15].
There has been a scarcity of research investigating prevalence, incidence, and predictors of hypoglycemia among elderly patients with type 2 diabetes in Jordan. Therefore, this study aims were to assess the prevalence of hypoglycemic events and assess the potential factors contributing to their occurrence in older individuals diagnosed with type 2 diabetes mellitus.
Methodology
Study design and settings
To examine the primary objective of identifying the prevalence and factors associated with hypoglycemia occurrence, a cross-sectional study was conducted at the outpatient diabetes clinic of King Abdullah University Hospital (KAUH) over a ten-month period spanning from October 1st, 2022, to August 1st, 2023. Inclusion criteria included individuals aged 60 years and above with a confirmed diagnosis of type 2 diabetes mellitus (DM) who were treated with at least one antidiabetic medication. The prevalence of and severity of hypoglycemia were determined through patient interviews utilizing a structured questionnaire designed for this purpose. Utilizing electronic medical records, patients were prospectively monitored for hospital admissions, visits to the emergency department, and mortality over a three-month follow-up period, adhering to the framework of a prospective cohort study design.
Patients characteristics and data collection
Patients characteristics including age, gender, marital status, occupation, monthly income, smoking status, educational level, physical activity family history of DM, and current chronic diseases status in study subjects were obtained from the patients during the interview and from hospital medical charts. Glycated hemoglobin (HbA1c) blood levels, as well as medication information including past and present medications, were obtained from the hospital’s electronic medical records. Data about hypoglycemia during the three months preceding the clinic visit were obtained from the patients during the interview and validated using medical records and lab results. Hypoglycemia severity levels were assessed based on both American Diabetes Association and The International Hypoglycemia Study Group recommendations [16]. Hospital admissions, emergency department visits frequency and reasons were obtained from the electronic records during the three-months period post the interview. The interviews lasted around 10–15 minutes. Charleson comorbidity index was calculated for each patient to indicate morbidity status and to estimate the risk of death from comorbid diseases. Missing data were excluded from the analysis to ensure the integrity and reliability of the results.
Sample size calculation
For sample size calculation, the following formula (Sample size (n) = Z2 P(1-P)/d2) was used to find the minimum number of individuals required for achieving a 95% confidence interval (z = 1.96) with absolute error of 5% (d = 0.05), and with assumed proportion in population of 50% (P = 0.5) to ensure maximum number of individuals included in this study [17]. To meet the necessary sample size for this study, 385 patients or more needed to be included.
Data analysis
Data was analyzed using Stata version 17 software (Stata Crop. 2021). Continuous variables such as age, HbA1c, and number of comorbidities were summarized in terms of their mean and standard deviation. Categorical variables such as gender, body mass index, and marital status were described using frequencies and percentages. Backward stepwise logistic regression models with P value < 0.2 to stay were conducted to evaluate factors associated with hypoglycemia in the period of three months preceding the clinic visit and hospital admission/ emergency visit during the follow up period. A two-sided P value of less than 0.05 was assumed statistically significant.
Ethical approval and informed consent
Approval for this study was obtained from the Institutional Review Board of KAUH at Jordan University of Science and Technology (Ref. # 53-151-2022, Approval date: 19/9/2022). All interviewed patients in this study have completed written informed consent forms for the purpose of participation.
Results
A total of 640 patients with type 2 diabetes aged 60 years and above were recruited in the study, with a mean age ± SD of 67.19 (± 5.69) years. Hypoglycemia was prevalent in 21.7% of the patients. Of the total subjects, 55.78% were females, 82.81% were married, 15.9% were living alone, 84.22% were unemployed or retired. A total of 52.34% of the patients had a low monthly income, earning less than 500 JOD per month. Only 25.16% of the participants were smokers, and 29.06% were physically active. Additionally, 55.94% of the patients had a family history of diabetes mellitus. A statistically significant difference was identified between the groups with or without hypoglycemia regarding the family history of diabetes (p = 0.003). (Table 1).
This study showed that 14.4% (n = 20) of the elderly patients with type 2 diabetes experienced severe level of hypoglycemia (level 3), while 42.4% (n = 59) of the patients experienced moderate level of hypoglycemia (level 2), and 43.2% (n = 60) experienced mild level of hypoglycemic events (level 1). (Fig 1).
Level 1 hypoglycemia: Blood glucose level of 70 mg/dL or less. Level 1 hypoglycemia: Blood glucose level of less than 54 mg/dL. Level 3 hypoglycemia: Involves severe cognitive impairment which needs assistance for recovery [1].
The results indicated that the mean number of comorbid conditions was 2.72 (SD = 1.47), with hypertension being the most common (79.22%), followed by dyslipidemia (58.13%) and myocardial infarction (16.09%). On average, patients were taking 6.59 (SD = 2.72) medications, including insulin, oral antihyperglycemic agents, and other drugs to treat comorbid conditions. The average number of medications indicated for diabetes mellitus type 2 was 1.70 (SD = 0.87). Additionally, the mean value for HbA1C among patients who experienced hypoglycemic episodes was 7.82% (SD = 1.45) while it was 7.73 (SD = 1.81) among those patients who did not experience any hypoglycemic episodes during the 3 months follow up period. Additionally, the mean value of the Charlson comorbidity index was 3.83 (± 0.91), indicating a moderate severity of comorbid diseases. Among the study sample, 17.97% had hospital admissions during the three months follow up period, while emergency department visits were experienced by 8.13% of patients. (Tables 2 and 3).
Our results indicated that the most commonly prescribed antidiabetic medication was metformin followed by sulfonylurea medications (Glimepiride, Gliclazide, Glibenclamide). Metformin was administered in various strengths (500, 850, or 1000 mg) to 501 individuals. Notably, only 107 patients who were taking metformin alone or in combination with other oral hypoglycemic agents experienced hypoglycemia and the difference was not statistically significant compared to the non-hypoglycemia group. Furthermore, among the 264 patients receiving sulfonylureas alone or in combination, 54 individuals encountered hypoglycemia, indicating no statistical difference between hypoglycemia and non-hypoglycemia group. However, among the 243 patients prescribed insulin (glargine, detemir, degludec, Aspart, regular, NPH), 65 patients experienced hypoglycemia, and this association was found to be statistically significant (p = 0.016). For DPP4 inhibitors (saxagliptin and linagliptin) administered to 116 patients, 31 experienced hypoglycemia. Of the 3 patients treated with GLP1 agonists (liraglutide and semaglutide), only 1 patient experienced hypoglycemia. Furthermore, SGLT2-I was administered to 40 patients, with 10 experienced hypoglycemia, and no statistically significant difference was identified between the groups. (Table 4).
Multivariate logistic regression analysis was applied to examine the potential predictors associated with hypoglycemia. Results showed that patients with a history of liver diseases exhibit 7.43 times higher odds of experiencing hypoglycemia compared to those without liver diseases (P = 0.020). Furthermore, dyslipidemia as a predictor reveals an odds ratio of 1.87, suggesting an 87% elevated likelihood of hypoglycemia (P = 0.032). Similarly, insulin use has revealed odds of 1.88, meaning that there is 88% increase in the odds of hypoglycemia for individuals receiving insulin (P = 0.015). Moreover, individuals with a family history of diabetes mellitus exhibit 1.82 higher odds of experiencing hypoglycemia episodes compared to those without family history of DM. (P = 0.023). (Table 5).
Results of this study showed that individuals who have experienced hypoglycemia had 1.95 times higher odds of hospital admissions and emergency department (ER) visits compared to those without hypoglycemia episodes. (95% C.I = 1.25–3.04, P = 0.003). Also, Patients who had higher educational level exhibit lower odds (OR = 0.61) compared to patients who did not complete their education, this mean that hospital admissions and ER visits in patients with higher education were lower by 39% compared to patients with lower education level (95% CI = 0.40–0.94). (Table 6).
Discussion
Type 2 diabetes mellitus is highly prevalent within the population of Jordan and neighboring countries. Our study was conducted to investigate the prevalence of hypoglycemic events among older outpatients diagnosed with type 2 diabetes from Jordan. Additionally, the study aimed to identify the main predictors linked to development of hypoglycemic conditions among elderly diabetic population attending outpatient clinics.
Results of the current study estimated that prevalence of hypoglycemia among elderly patients was 21.7%. Hypoglycemia prevalence among type 2 diabetes patients was reported previously in other studies ranged from 12% to 57.44% [18–20]. Hypoglycemia is generally associated with severe negative consequences including increased risk of cardiac arrhythmias, falls, and even mortality [21, 22]. Our study indicated that 14.4% of the study patients reported severe hypoglycemia, while 42.4 and 43.2% of the patients reported moderate and mild hypoglycemia, respectively. A systematic and meta-analysis population-based study included 46 studies in their analysis had prevalence estimate of hypoglycemia of 45% for mild and moderate hypoglycemia, while 6% prevalence for severe hypoglycemia [19]. This study indicated that 14.4% of the study patients reported severe hypoglycemia.
Current study has evaluated multiple variables as suspected predictors for increased hypoglycemic events among patients. The number of diabetes medications was linked significantly to the hypoglycemia events occurrence. This observation was consistent with previous studies, which have shown a similar association between two or more antidiabetic medications use and elevated risk of hypoglycemia in diabetic patients compared to the use of single antidiabetic medication [23, 24].
Glycated hemoglobin (HbA1c) is a reliable indicator of long-term control of blood glucose in DM patients. The study has shown that the mean level of HbA1c was comparable and elevated in all patients (with and without hypoglycemia). While this indicates poor control of blood glucose among elderly patients in this study, it might to some extent explain the low prevalence of hypoglycemic events in DM patients. Improper antidiabetic selection, low dose or number of antidiabetic medications, and poor medication adherence can lead to poor control of blood glucose expressed through elevated HbA1c readings, and thus, less chance of developing hypoglycemic state [25, 26]. Previous studies examining the association between hypoglycemia prevalence and HbA1C levels showed conflicting results, while one study has indicated that prevalence of hypoglycemia increases for HbA1c readings below 7.0% [27], the other study found that higher HbA1c levels are associated with increased the odds for hypoglycemia-related hospitalization [28].
Cardiovascular diseases, dyslipidemia, hypothyroidism, and chronic kidney disease were the most common chronic conditions encountered in this study. Numerous chronic conditions including chronic kidney diseases, hypothyroidism, and liver diseases were considered as independent risk factors associated with drop of blood glucose and have been linked to elevated hypoglycemic events in diabetic and non-diabetic people [5, 29, 30].
The presence of chronic comorbidities including liver conditions and dyslipidemia were linked to an increase in the risk of hypoglycemic events in this study. Contrarily, chronic kidney disease and hypothyroidism assessment failed to establish a significant association with more hypoglycemic instants. Reports explained the association between liver conditions and raised odds of hypoglycemia due to poor glycogen level and malnutritional status among these patients resulted in existence of hypoglycemia [30]. Dyslipidemia and hypertriglyceridemia were clearly linked to insulin resistance and thus, hyperglycemia [31]. Various pharmacological studies have examined the effects of drugs prescribed for dyslipidemia on the blood glucose level, with findings indicating that the administration of statins and ezetimibe may induce notable hypoglycemia [32, 33]. Consequently, the hypoglycemic events in patients with co-existed dyslipidemia may be attributable to the pharmacological effects of the administered drugs. Furthermore, insulin resistance is associated with dyslipidemia, creating a reciprocal relationship in which each condition has the potential to exacerbate the other [34], thereby necessitating mainly the administration of higher insulin doses [35]. This increase in dosage may, in turn, lead to a higher frequency of hypoglycemic episodes.
From another perspective, this study has examined the variables that might be associated with frequent rates of emergency department visits or hospital admissions. In current study, Patients who had developed hypoglycemia were more subjected to emergency department visits and hospital admissions. A previous study has highlighted that recurrent emergency department visits after hypoglycemic events were notably more common in those taking oral antidiabetic agents compared to insulin only [36]. Another study indicated hypoglycemia as a major risk factor for hospital admission among older adults with type 2 diabetes [15].
Study limitations
This study might be subjected to recall bias due to reliance on patients self-reporting concerning the frequency and severity of hypoglycemic events encountered, even though the study methodology ensured to assess the hypoglycemic events carefully based on structured patients interviews with standardized questions.
Conclusion
This study revealed a notable prevalence of hypoglycemia events occurrence among elderly outpatients with type diabetes mellitus, particularly patients with concurrent liver diseases and dyslipidemia. Additionally, Hypoglycemia was correlated with a twofold increase in the rate of emergency department visits and hospital admissions among elderly patients with type 2 diabetes. Prescribers should conduct thorough medication assessments to minimize occurrence of hypoglycemic events among older outpatients with type 2 diabetes.
Acknowledgments
The research was approved by the Jordan University of Science and Technology (JUST) Research Counsel and Deanship of Research (Approval /Research number is 559–2022).
References
- 1. American Diabetes A. 6. Glycemic Targets: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021;44(Suppl 1):S73–S84. Epub 2020/12/11. pmid:33298417.
- 2. Gelhorn H, Balantac Z, Shinde S, Thieu VT, Boye KS. The Burden of Type 2 Diabetes and the Value of Achieving Near Normoglycemia from the Patient Perspective. Diabetes Ther. 2021;12(7):1821–37. Epub 2021/05/28. pmid:34043162
- 3. McCoy RG, Lipska KJ, Yao X, Ross JS, Montori VM, Shah ND. Intensive Treatment and Severe Hypoglycemia Among Adults With Type 2 Diabetes. JAMA Intern Med. 2016;176(7):969–78. Epub 2016/06/09. pmid:27273792
- 4. Lee JY, Kim YE, Han K, Han E, Lee BW, Kang ES, et al. Analysis of Severe Hypoglycemia Among Adults With Type 2 Diabetes and Nonalcoholic Fatty Liver Disease. JAMA Netw Open. 2022;5(2):e220262. Epub 2022/02/24. pmid:35195697
- 5. Moen MF, Zhan M, Hsu VD, Walker LD, Einhorn LM, Seliger SL, et al. Frequency of hypoglycemia and its significance in chronic kidney disease. Clin J Am Soc Nephrol. 2009;4(6):1121–7. Epub 2009/05/09. pmid:19423569
- 6. Ebadi SA, Darvish P, Fard AJ, Lima BS, Ahangar OG. Hypoglycemia and cognitive function in diabetic patients. Diabetes Metab Syndr. 2018;12(6):893–6. Epub 2018/06/12. pmid:29887517.
- 7. Mu Z, Sun M, Wen L, Li P, Gao J, Liu M, et al. Effect of hypoglycemia on cognitive performance in older patients with diabetes: A meta-analysis. Ann Endocrinol (Paris). 2024;85(1):56–62. Epub 2023/10/27. pmid:37884125.
- 8. Yildirim D, Ciris Yildiz C, Ergin E, Ozbay I. Hypoglycaemia fear, treatment adherence, and the quality of life in patients with type 2 diabetes and its determinants. Int J Nurs Pract. 2024;30(2):e13248. Epub 2024/02/22. pmid:38385845.
- 9. Lee AK, Warren B, Lee CJ, McEvoy JW, Matsushita K, Huang ES, et al. The Association of Severe Hypoglycemia With Incident Cardiovascular Events and Mortality in Adults With Type 2 Diabetes. Diabetes Care. 2018;41(1):104–11. Epub 2017/11/12. pmid:29127240
- 10. International Hypoglycaemia Study G. Hypoglycaemia, cardiovascular disease, and mortality in diabetes: epidemiology, pathogenesis, and management. Lancet Diabetes Endocrinol. 2019;7(5):385–96. Epub 2019/03/31. pmid:30926258.
- 11. Abdelhafiz AH, Rodriguez-Manas L, Morley JE, Sinclair AJ. Hypoglycemia in older people—a less well recognized risk factor for frailty. Aging Dis. 2015;6(2):156–67. Epub 2015/03/31. pmid:25821643
- 12. Meneilly GS, Cheung E, Tuokko H. Counterregulatory hormone responses to hypoglycemia in the elderly patient with diabetes. Diabetes. 1994;43(3):403–10. Epub 1994/03/01. pmid:8314012.
- 13. Freeman J. Management of hypoglycemia in older adults with type 2 diabetes. Postgrad Med. 2019;131(4):241–50. Epub 2019/02/07. pmid:30724638.
- 14. Tamura Y, Omura T, Toyoshima K, Araki A. Nutrition Management in Older Adults with Diabetes: A Review on the Importance of Shifting Prevention Strategies from Metabolic Syndrome to Frailty. Nutrients. 2020;12(11). Epub 2020/11/04. pmid:33139628
- 15. Silbert R, Salcido-Montenegro A, Rodriguez-Gutierrez R, Katabi A, McCoy RG. Hypoglycemia Among Patients with Type 2 Diabetes: Epidemiology, Risk Factors, and Prevention Strategies. Curr Diab Rep. 2018;18(8):53. Epub 2018/06/23. pmid:29931579
- 16. International Hypoglycaemia Study G. Glucose Concentrations of Less Than 3.0 mmol/L (54 mg/dL) Should Be Reported in Clinical Trials: A Joint Position Statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2017;40(1):155–7. Epub 2016/11/23. pmid:27872155.
- 17. Charan J, Biswas T. How to calculate sample size for different study designs in medical research? Indian J Psychol Med. 2013;35(2):121–6. Epub 2013/09/21. pmid:24049221
- 18. Miller CD, Phillips LS, Ziemer DC, Gallina DL, Cook CB, El-Kebbi IM. Hypoglycemia in patients with type 2 diabetes mellitus. Arch Intern Med. 2001;161(13):1653–9. Epub 2001/07/24. pmid:11434798.
- 19. Edridge CL, Dunkley AJ, Bodicoat DH, Rose TC, Gray LJ, Davies MJ, et al. Prevalence and Incidence of Hypoglycaemia in 532,542 People with Type 2 Diabetes on Oral Therapies and Insulin: A Systematic Review and Meta-Analysis of Population Based Studies. PLoS One. 2015;10(6):e0126427. Epub 2015/06/11. pmid:26061690 Nordisk, Sanofi-Aventis, Lilly and Merck Sharp & Dohme. He has received grants in support of investigator and investigator initiated trials from Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, Pfizer, Boehringer Ingelheim and Merck Sharp & Dohme. MJD has acted as consultant, advisory board member and speaker for Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, Merck Sharp & Dohme, Boehringer Ingelheim and Roche. She has received grants in support of investigator and investigator initiated trials from Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, Pfizer, Merck Sharp & Dohme and GlaxoSmithKline. AJD has received sponsorship for attending conferences.
- 20. Samya V, Shriraam V, Jasmine A, Akila GV, Anitha Rani M, Durai V, et al. Prevalence of Hypoglycemia Among Patients With Type 2 Diabetes Mellitus in a Rural Health Center in South India. J Prim Care Community Health. 2019;10:2150132719880638. Epub 2019/10/22. pmid:31631765
- 21. Li G, Zhong S, Wang X, Zhuge F. Association of hypoglycaemia with the risks of arrhythmia and mortality in individuals with diabetes—a systematic review and meta-analysis. Front Endocrinol (Lausanne). 2023;14:1222409. Epub 2023/08/30. pmid:37645418
- 22. Moffet HH, Huang ES, Liu JY, Parker MM, Lipska KJ, Laiteerapong N, et al. Severe hypoglycemia and falls in older adults with diabetes: The Diabetes & Aging Study. Diabet Epidemiol Manag. 2023;12. Epub 2023/11/03. pmid:37920602
- 23. Naser AY, Wong ICK, Whittlesea C, Beykloo MY, Man KKC, Lau WCY, et al. Use of multiple antidiabetic medications in patients with diabetes and its association with hypoglycaemic events: a case-crossover study in Jordan. BMJ Open. 2018;8(11):e024909. Epub 2018/11/24. pmid:30467136
- 24. Qian D, Zhang T, Zheng P, Liang Z, Wang S, Xie J, et al. Comparison of Oral Antidiabetic Drugs as Add-On Treatments in Patients with Type 2 Diabetes Uncontrolled on Metformin: A Network Meta-Analysis. Diabetes Ther. 2018;9(5):1945–58. Epub 2018/08/20. pmid:30121726
- 25. Haghighatpanah M, Nejad ASM, Haghighatpanah M, Thunga G, Mallayasamy S. Factors that Correlate with Poor Glycemic Control in Type 2 Diabetes Mellitus Patients with Complications. Osong Public Health Res Perspect. 2018;9(4):167–74. Epub 2018/08/31. pmid:30159222
- 26. Gordon J, McEwan P, Idris I, Evans M, Puelles J. Treatment choice, medication adherence and glycemic efficacy in people with type 2 diabetes: a UK clinical practice database study. BMJ Open Diabetes Res Care. 2018;6(1):e000512. Epub 2018/05/15. pmid:29755756
- 27. Yu S, Fu AZ, Engel SS, Shankar RR, Radican L. Association between hypoglycemia risk and hemoglobin A1C in patients with type 2 diabetes mellitus. Curr Med Res Opin. 2016;32(8):1409–16. Epub 2016/04/08. pmid:27053004.
- 28. Zhao MJY, Prentice JC, Mohr DC, Conlin PR. Association between hemoglobin A1c variability and hypoglycemia-related hospitalizations in veterans with diabetes mellitus. BMJ Open Diabetes Res Care. 2021;9(1). Epub 2021/01/13. pmid:33431600
- 29. Kalra S, Unnikrishnan AG, Sahay R. The hypoglycemic side of hypothyroidism. Indian J Endocrinol Metab. 2014;18(1):1–3. Epub 2014/04/05. pmid:24701422
- 30. Anno T, Kaneto H, Shigemoto R, Kawasaki F, Kawai Y, Urata N, et al. Hypoinsulinemic hypoglycemia triggered by liver injury in elderly subjects with low body weight: case reports. Endocrinol Diabetes Metab Case Rep. 2018;2018. Epub 2018/03/03. pmid:29497536
- 31. Ensling M, Steinmann W, Whaley-Connell A. Hypoglycemia: A Possible Link between Insulin Resistance, Metabolic Dyslipidemia, and Heart and Kidney Disease (the Cardiorenal Syndrome). Cardiorenal Med. 2011;1(1):67–74. Epub 2012/01/20. pmid:22258467
- 32. Khanimov I, Segal G, Wainstein J, Boaz M, Shimonov M, Leibovitz E. High-Intensity Statins Are Associated With Increased Incidence of Hypoglycemia During Hospitalization of Individuals Not Critically Ill. Am J Med. 2019;132(11):1305–10. Epub 2019/06/25. pmid:31233703.
- 33. Nozue T, Michishita I, Mizuguchi I. Effects of ezetimibe on glucose metabolism in patients with type 2 diabetes: A 12-week, open-label, uncontrolled, pilot study. Curr Ther Res Clin Exp. 2010;71(4):252–8. Epub 2010/08/01. pmid:24688147
- 34. Bjornstad P, Eckel RH. Pathogenesis of Lipid Disorders in Insulin Resistance: a Brief Review. Curr Diab Rep. 2018;18(12):127. Epub 2018/10/18. pmid:30328521
- 35. Church TJ, Haines ST. Treatment Approach to Patients With Severe Insulin Resistance. Clin Diabetes. 2016;34(2):97–104. Epub 2016/04/20. pmid:27092020
- 36. Betten DP, Castle DJ, Hughes MJ, Henney JN. Frequency of return visits to the emergency department in patients discharged following hypoglycemia episodes. Int J Emerg Med. 2018;11(1):28. Epub 2018/05/26. pmid:29799604