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Alwafi H, Alsharif AA, Wei L, Langan D, Naser AY, Mongkhon P, Bell JS, Ilomaki J, Al Metwazi MS, Man KKC, Fang G, Wong ICK. Incidence and prevalence of hypoglycaemia in type 1 and type 2 diabetes individuals: A systematic review and meta-analysis. Diabetes Res Clin Pract 2020; 170:108522. [PMID: 33096187 DOI: 10.1016/j.diabres.2020.108522] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 09/30/2020] [Accepted: 10/13/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Previous meta-analysis investigating the incidence and prevalence of hypoglycaemia in both types of diabetes is limited. The purpose of this review is to conduct a systematic review and meta-analysis of the existing literature which investigates the incidence and prevalence of hypoglycaemia in individuals with diabetes. METHODS PubMed, Embase and Cochrane library databases were searched up to October 2018. Observational studies including individuals with diabetes of all ages and reporting incidence and/or prevalence of hypoglycaemia were included. Two reviewers independently screened articles, extracted data and assessed the quality of included studies. Meta-analysis was performed using a random effects model with 95% confidence interval (CI) to estimate the pooled incidence and prevalence of hypoglycaemia in individuals with diabetes. RESULTS Our search strategy generated 35,007 articles, of which 72 studies matched the inclusion criteria and were included in the meta-analysis. The prevalence of hypoglycaemia ranged from 0.074% to 73.0%, comprising a total of 2,462,810 individuals with diabetes. The incidence rate of hypoglycaemia ranged from 0.072 to 42,890 episodes per 1,000 person-years: stratified by type of diabetes, it ranged from 14.5 to 42,890 episodes per 1,000 person-years and from 0.072 to 16,360 episodes per 1,000-person years in type 1 and type 2 diabetes, respectively. CONCLUSION Hypoglycaemia is very common among individuals with diabetes. Further studies are needed to investigate hypoglycaemia-associated risk factors.
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Affiliation(s)
- Hassan Alwafi
- Research Department of Practice and Policy, School of Pharmacy, University College London (UCL), London, United Kingdom; Faculty of Medicine, Umm Al Qura University, Mecca, Saudi Arabia
| | - Alaa A Alsharif
- Department of Pharmacy Practice, Faculty of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Li Wei
- Research Department of Practice and Policy, School of Pharmacy, University College London (UCL), London, United Kingdom
| | - Dean Langan
- UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | | | - Pajaree Mongkhon
- Department of Pharmacy Practice School of Pharmaceutical Sciences, University of Phayao, Phayao, Thailand; Pharmacoepidemiology and Statistics Research Center (PESRC), Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand
| | - J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Jenni Ilomaki
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Mansour S Al Metwazi
- Clinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Kenneth K C Man
- Research Department of Practice and Policy, School of Pharmacy, University College London (UCL), London, United Kingdom; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Gang Fang
- Division of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Ian C K Wong
- Research Department of Practice and Policy, School of Pharmacy, University College London (UCL), London, United Kingdom; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong; The University of Hong Kong - Shenzhen Hospital, 1, Haiyuan 1st Road, Futian District, Shenzhen, Guangdong, China.
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Elliott L, Fidler C, Ditchfield A, Stissing T. Hypoglycemia Event Rates: A Comparison Between Real-World Data and Randomized Controlled Trial Populations in Insulin-Treated Diabetes. Diabetes Ther 2016; 7:45-60. [PMID: 26886441 PMCID: PMC4801820 DOI: 10.1007/s13300-016-0157-z] [Citation(s) in RCA: 89] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION Hypoglycemia is the most common adverse effect of diabetes therapy, particularly insulin treatment. Hypoglycemia is associated with considerable clinical and economic burden, and may be under-reported. The aim of this study was to com pare the frequency of hypoglycemic events reported in real-world settings with those reported in clinical trials. METHODS We conducted a structured literature review in PubMed to identify hypoglycemic event rates in patients with type 1 diabetes mellitus (T1DM) and insulin-treated type 2 diabetes mellitus (T2DM) from real-world data (RWD) and randomized controlled trials (RCTs). The search was restricted to English language, full-text publications from 2010 onwards, reporting on treatment of T1DM or T2DM with basal only, basal-bolus, or premix insulin. RESULTS The final dataset included 30 studies (11 RWD studies and 19 RCTs). Six studies (RWD, n = 2; RCT, n = 4) reported hypoglycemia event rates in people with T1DM. For all reported categories of hypoglycemia (severe, non-severe, and nocturnal), rates were consistently higher in RWD studies compared with RCTs. Twenty-five studies (RWD, n = 10; RCT, n = 15) reported hypoglycemia event rates in people with insulin-treated T2DM. For T2DM basal-oral therapy; the highest rates were observed in RWD studies, although there was an overlap with RCT rates. For basal-bolus therapy, there was considerable between-study variability but higher rates of severe and non-severe hypoglycemia were generally observed in RWD studies. For T2DM premix insulin, reported rates of hypoglycemia in RWD studies and RCTs were similar. CONCLUSION We found that higher rates of hypoglycemia are observed in real-world settings compared with clinical trial settings, although there is a large degree of overlap. Due to the inherent constraints of RCTs, they are likely to underestimate the burden of hypoglycemia in clinical practice. Further, high-quality RWD are needed to determine a more accurate incidence of hypoglycemia in clinical practice.
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Affiliation(s)
| | - Carrie Fidler
- DRG Abacus, 6 Talisman Business Centre, Bicester, Oxfordshire UK
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Czech M, Rdzanek E, Pawęska J, Adamowicz-Sidor O, Niewada M, Jakubczyk M. Drug-related risk of severe hypoglycaemia in observational studies: a systematic review and meta-analysis. BMC Endocr Disord 2015; 15:57. [PMID: 26458540 PMCID: PMC4603823 DOI: 10.1186/s12902-015-0052-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2015] [Accepted: 09/30/2015] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Diabetes mellitus (DM) leads to multiple complications, including severe hypoglycaemia events (SHEs). SHEs can impact a patient's quality of life and compliance and may directly result in additional costs to the health care system. The aim of this review was to evaluate the risk of severe hypoglycaemia in patients with type 1 (T1) and 2 (T2) DM as observed in everyday clinical practice for various drug regimens. METHODS We conducted a systematic review of observational (retrospective or prospective) studies in the MEDLINE, Embase, and Cochrane Library databases that covered at least 100 children or adults with T1/T2 DM. In T1 DM, basal-bolus/pre-mix insulin (human or analogue) and insulin pump were reviewed, and in T2 DM, basal-bolus/pre-mix insulin (human or analogue), oral antidiabetic drugs supported with basal insulin (human or analogue), sulfonylureas in monotherapy, and combined oral treatment were reviewed. In order to estimate SHE rates, we extracted data on the time horizon of the study, number of patients, number of SHEs, and number of patients experiencing at least one SHE. We used a random effects model to estimate the annual SHE rate. We considered the risk for other antidiabetic medications in T2 DM to be negligible and the results of our main review yielded no observational data for premixes in T1 DM so they were assessed based on relative rates taken from additional systematic reviews. The study, being a desk research, did not involve any human subjects (including human material or human data) and no ethical committee approval was asked for. For the same reason there was no need to collect informed consent for participation in the study. RESULTS We identified 76 observational studies encompassing 707,722.30 patient-years. The estimated annual SHE rate varied from 0.168 (95 % CI 0.123-0.237) for insulin pump up to 1.628 for biphasic human insulin in T1 DM patients, and from 0.0035 for oral antidiabetic drugs up to 0.554 (95 % CI 0.157-7.534) for basal-bolus with human insulin in T2 DM patients. CONCLUSIONS Our review indicates that SHE rates differ between patients depending on treatment regimen. However, SHEs are also driven by other factors. Proper modelling techniques are needed to use various types of information in published studies.
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Affiliation(s)
- Marcin Czech
- Novo Nordisk Pharma sp. z o.o, Warsaw, Poland.
- Department of Pharmacoeconomics, Medical University of Warsaw, Warsaw, Poland.
- Business School, Warsaw University of Technology, Warsaw, Poland.
| | - Elżbieta Rdzanek
- HealthQuest spółka z ograniczoną odpowiedzialnością Sp. K, Warsaw, Poland.
| | - Justyna Pawęska
- HealthQuest spółka z ograniczoną odpowiedzialnością Sp. K, Warsaw, Poland.
| | | | - Maciej Niewada
- Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Warsaw, Poland.
| | - Michał Jakubczyk
- Decision Analysis and Support Unit, Warsaw School of Economics, Al. Niepodległości 162, 02-554, Warsaw, Poland.
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