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Study Protocol

Global monitoring of hyperglycaemic emergencies in adults with diabetes: protocol for a systematic review of incidence and outcomes (2015–2024)

[version 1; peer review: awaiting peer review]
PUBLISHED 31 Jan 2025
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OPEN PEER REVIEW
REVIEWER STATUS AWAITING PEER REVIEW

Abstract

Background

Hyperglycaemic emergencies, such as diabetic ketoacidosis (DKA) and hyperosmolar hyperglycaemic state (HHS), are critical indicators of inadequate glucose management, and highlight issues such as lack of insulin availability, suboptimal patient education, or non-adherence to treatment. This systematic review will examine the global variation in DKA and HHS incidence, clinical outcomes and related trends, in adults with diabetes, to guide future diabetes management strategies and advocacy.

Methods

The review will follow the PERSyst group guidance for conducting systematic reviews of proportions, and will be reported using Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. We will include population-based observational studies conducted in all geographic settings that report data on adult populations diagnosed with type 1 or type 2 diabetes from 2015–2024, with no language restrictions. The databases to be searched are Ovid MEDLINE, Embase, Scopus, EBSCO CINAHL, and the WHO Global Index Medicus. Using Covidence, two reviewers will independently screen titles and abstracts against eligibility criteria, review potentially relevant full-text articles, and extract data from eligible studies. A third reviewer will resolve any conflicts. Reviewers will use a standardised data extraction form to capture study population, methodological, and outcome data. The methodological quality of included studies will be assessed using the JBI Critical Appraisal tool for studies reporting prevalence data. Extracted data will be synthesised using descriptive statistics and summarised narratively.

Dissemination

Findings from this systematic review will be used to inform global diabetes monitoring, prevention and treatment initiatives, and advocacy. Upon completion, the final review report will be submitted for publication to a peer-reviewed journal, and presented at scientific conferences nationally and internationally.

PROSPERO registration

CRD42024588719

OSF

https://doi.org/10.17605/OSF.IO/6HBVQ

Keywords

diabetes, diabetic coma, diabetic ketoacidosis, hyperosmolar hyperglycaemic state, severe hyperglycaemia, incidence, systematic review

Introduction

Background

Diabetes is a significant public health concern (Gregg et al., 2023). Worldwide, 529 million people were estimated to be living with the disease in 2021, with type 2 diabetes accounting for 96% of cases. By 2050, the number of people with diabetes is projected to exceed 1.3 billion, affecting low- and middle-income countries (LMICs) disproportionately (GBD 2021 Diabetes Collaborators, 2023). Sub-optimal diabetes management increases complication, hospitalisation and mortality risk (Fayfman et al., 2017; Umpierrez, 2020; Yan et al., 2018), while contributing to high healthcare costs; for instance, in the United States (US), diabetes-related expenses reached US$412.9 billion in 2022 (Parker et al., 2024). To reduce the global diabetes burden and improve care, the World Health Organization (WHO) has mandated more coherent monitoring of diabetes and related outcomes at a global level through the Global Diabetes Compact initiative (Gregg et al., 2023).

Acute diabetes-related emergencies include diabetic ketoacidosis (DKA) and hyperosmolar hyperglycaemic state (HHS) (Dhatariya et al., 2020; Umpierrez & Korytkowski, 2016). Mostly associated with type 1 diabetes, DKA occurs when insulin deficiency causes the body to break down fats too quickly, resulting in high ketone levels that can lead to severe complications such as dehydration, coma, and ultimately death. Alternatively, HHS, which predominantly affects individuals with type 2 diabetes, is characterized by extreme hyperglycaemia without significant ketoacidosis, leading to severe dehydration and altered mental status. The incidence of such hyperglycaemic emergencies (HGE) varies worldwide, likely influenced by differences in healthcare access, diabetes management, and study methodologies (Umpierrez et al., 2024a; Umpierrez et al., 2024b). For example, a 2017 systematic review found that DKA incidence significantly varied, with one study reporting the highest incidence in China at 263 per 1,000 person-years, whereas Israel and North America experienced lower incidence; as low as 0 per 1,000 person-years (Fazeli Farsani et al., 2017). Much of the epidemiological data available on DKA is derived from hospital discharge coding (Dhatariya et al., 2020). HHS incidence is less clearly documented (Umpierrez et al., 2024a; Umpierrez et al., 2024b), but remains a major contributor to diabetes-related emergencies, particularly among older adults (Pasquel & Umpierrez, 2014).

Both DKA and HHS require intensive treatment and hospitalisation, at high economic cost. In the US, the Centers for Disease Control and Prevention (CDC) have reported an increase in HGE-related hospitalisations, reaching an annual rate of 9.9 per 1,000 adults with diabetes in 2020 (CDC, 2024). The annual cost of DKA-related treatment in the US alone has been estimated to exceed US$1 billion (Desai et al., 2018; Kitabchi et al., 2001; Ramphul & Joynauth, 2020). Over the past decade, previously reported improvements in the mortality rates for HGE-related hospitalisations have seemingly plateaued in high-income countries, while the mortality rates reported in LMICs remain disproportionately higher, perhaps due to limited healthcare resources and delayed treatment (Umpierrez et al., 2024a; Umpierrez et al., 2024b).

The epidemiology, pathophysiology, clinical presentation, and recommendations for the diagnosis, treatment and prevention of DKA and HHS in adults has been the subject of a recent consensus report (Umpierrez et al., 2024a; Umpierrez et al., 2024b), an update of the American Diabetes Association (ADA) consensus statement on hyperglycaemic crises in adults with diabetes originally published in 2001 and last updated in 2009 (ADA, 2001; Kitabchi et al., 2009). While this report included a systematic examination of publications from 2009–2023, only English language studies indexed in one bibliographic database were considered, namely PubMed. Conducting a search of more than one database improves coverage and reduces the risk of missing potentially relevant data (Bramer et al., 2017; Ewald et al., 2022). Given the increasing incidence, severe clinical consequences and rising economic burden associated with DKA and HHS, plus the inclusion of DKA and HHS-related hospitalisation as part of WHO guidance on global monitoring for diabetes prevention and control (WHO, 2024), a more comprehensive assessment of the global burden of HGEs is imperative.

Aims and objectives

The objective of this systematic review is to examine the global variation in HGE (DKA and HHS) incidence and clinical outcomes in adults diagnosed with diabetes.

Research questions

This systematic review is guided by the following research questions:

  • 1. What is the incidence of HGE (DKA and HHS) by diabetes type, age, sex and geographic region?

  • 2. What are the clinical outcomes of HGE (DKA and HHS)?

Methods

Protocol registration

The review protocol is informed by guidance from the PERSyst group (Prevalence Estimates Reviews – Systematic Review Methodology Group) for conducting systematic reviews of prevalence and incidence (Barker et al., 2021), and is reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement for protocols (PRISMA-P; Moher et al., 2015). The completed review will be reported using the PRISMA 2020 Statement (Page et al., 2021). The protocol has been registered on the International Prospective Register of Systematic Reviews (PROSPERO; CRD42024588719), and review materials will be available on the Open Science Framework (OSF; https://doi.org/10.17605/OSF.IO/6HBVQ).

Eligibility criteria

Population-based observational studies conducted in any geographic setting, involving adults (aged ≥18 years) with diagnosed type 1 or type 2 diabetes, will be included, regardless of sample size. In line with the global effort to monitor non-communicable diseases (NCDs) under the WHO NCD Global Monitoring Framework (WHO, 2014; WHO, 2015), studies published between 2015–2024 with data collection periods that started in 2015 or later will be included. This will also enable us to capture pre- and post-COVID-19 pandemic periods. Studies will be included regardless of language and translated to English language through use of translation software. Experimental research studies (e.g., randomised controlled trials, intervention studies), case reports and series, systematic and non-systematic reviews, editorials, letters, commentaries, perspectives, opinions, preprints, study protocols, book chapters, conference abstracts and other grey literature will be excluded.

Information sources

The search strategy was developed with an information specialist (KW) for the selected databases: Ovid MEDLINE, Embase, Scopus, EBSCO CINAHL, and WHO Global Index Medicus. As an example, the search strategy for Embase is presented in Table 1. The complete search strategy is available on OSF (https://doi.org/10.17605/OSF.IO/6HBVQ; see Supplementary File 1).

Table 1. Example database search: Embase.

#1'diabetic coma*' OR (severe NEAR/2 (hyperglycaemia OR hyperglycemia OR ketoacidosis)) OR 'diabetic ketoacidosis' OR
(diabetic NEAR/2 ketoacidosis) OR 'dka' OR 'diabetic acidosis' OR 'ketoacidosis' OR 'severe hyperglycaemia' OR
'severe ketoacidosis' OR 'severe hyperglycemia' OR 'hyperglycaemic emergenc*' OR 'hyperglycemic emergenc*' OR
'hyperosmolar hyperglycaemic state*' OR 'hyperosmolar hyperglycemic state*' OR 'hhs' OR 'hyperosmolar syndrome' OR
'non-ketotic hyperglycaemia' OR 'non-ketotic hyperglycemia' OR 'non-ketotic hyperglycemic coma*' OR 'hyperosmolar
hyperglycemic non-ketotic syndrome*' OR 'hyperosmolar non-ketotic coma*' OR 'honk'
#2national database*':ti,ab,kw OR 'population based':ti,ab,kw OR 'nationally representative':ti,ab,kw OR 'country profile*':
ti,ab,kw OR 'national trend*':ti,ab,kw OR 'national statistic*':ti,ab,kw OR 'questionnaire*':ti,ab,kw OR survey:ti,ab,kw OR
registry:ti,ab,kw
#3diabetes:ti,ab,kw OR 'diabetes mellitus':ti,ab,kw OR diabetic:ti,ab,kw
#4#1 AND #2 AND #3
#5‘gestational diabetes'/exp
#6#4 NOT #5
#7trial*:ti,ab
#8#6 NOT #7
#9#8 AND [2015–2024]/py

Data management and study selection

All study records will be uploaded to Covidence to manage de-duplication, title and abstract screening, full-text review, and data extraction. Two reviewers will independently examine retrieved records against eligibility criteria at each stage of the review process. A third reviewer will be consulted to resolve any disagreement among reviewers to reach consensus. The reference lists of included studies will be searched for other potentially eligible studies; and the citationchaser software tool will be utilised (Haddaway et al., 2022). A PRISMA flow diagram will be generated to show the total number of records identified, included and excluded, and the reasons for exclusion.

Quality assessment

A quality assessment of included studies will be conducted by two independent reviewers, using the JBI Critical Appraisal tool for studies reporting on prevalence data (Munn et al., 2015). The checklist includes nine questions addressing study design, conduct and data analysis, with three potential ratings for assessing methodological quality (i.e., yes, no, unclear). A third reviewer will be consulted to resolve any disagreement between reviewers.

Data extraction and synthesis

A standardised data extraction form will be developed in Covidence. Two reviewers will independently extract study population, methodological, and outcome data, including lengths of hospital stay, intensive care unit admissions, and mortality rates. A sample of the data extraction template is provided in Table 2. A third reviewer will be consulted to resolve any disagreement among reviewers.

Table 2. Sample of data extraction template.

CategoryData itemType of data
Study characteristicsName of first authorFirst author surname
Publication yearExact year
Study typePopulation-based observational study (e.g., cohort, survey,
registry)
CountryCountry name
Geographical coverageRegional / national / subnational / community
Dataset identifierName of cohort / survey / registry
Study populationRepresentative sample
Study periodData collection start / end date
Total sample sizeParticipant N
Sampling methodProbability vs. non-probability
Response rateNumber / percentage
Percentage of missing dataNumber / percentage
Participant characteristicsDiabetes typeType 1, Type 2
AgeYears, range, mean, standard deviation (SD)
Sex / genderNumber / percentage
Race / ethnicityNumber / percentage
Prevalence / diabetes
duration
Number / percentage, years diagnosed, mean (SD)
Smokers / smoking historyNumber / percentage
Body Mass Index (BMI)Mean (SD)
Presence of co-morbiditiesNumber / percentage, type
Diabetic ketoacidosis (DKA) metricsIncidenceIncidence rates of DKA (e.g., per 1,000 person-years)
Mortality ratesNumber / percentage
Hospitalisation metricsLength of hospital stay, intensive care unit (ICU) admission rates
ComplicationsSpecific complications (e.g., renal failure, cerebral oedema)
Trends over timeObserved trends in DKA incidence or outcomes (pre- / post-
COVID)
Hyperosmolar hyperglycaemic state (HHS) metricsIncidenceIncidence rates of HHS (e.g., per 1,000 person-years)
Mortality ratesNumber / percentage
Hospitalisation metricsLength of hospital stay, ICU admission rates
ComplicationsSpecific complications (e.g., severe dehydration,
thromboembolism)
Trends over timeObserved trends in HHS incidence or outcomes (pre- / post-
COVID)
Combined DKA and HHS metricsCombined incidenceIncidence for DKA and HHS combined (e.g., per 1,000
person-years)
Combined mortality ratesMortality rates for DKA and HHS combined (Number /
percentage)
Combined hospitalisation
metrics
Combined length of hospital stays (mean [SD]), ICU
admission rates for both conditions
Combined trends over timeObserved changes in combined incidence or outcomes (pre-
/ post-COVID)
Study methodologyData sourceSource of data (e.g., hospital records, population registry)
Statistical method(s)Analytical approaches used
Quality appraisalJBI checklist

Data will be synthesised using descriptive statistics, such as proportions and counts for categorical variables, and means, standard deviations and ranges for continuous data. Tables and graphs will be used to present descriptive data on study characteristics, participant characteristics, incidence estimates, and quality assessment ratings. Depending on data availability, potential differences in DKA and HHS incidence, and outcomes will be explored between regions and countries. If feasible, data analyses will be stratified for diabetes type, sex, or other population characteristics. The potential for inequities will be explored and summarised narratively.

If feasible, a meta-analysis using a random-effects model will be conducted. This will include pooling incidence rates and measures of association such as odds ratios and relative risks. This requires considering the various methodological challenges related to the conduct and reporting of systematic reviews of proportions (Barker et al., 2021). Heterogeneity can be a concern in a meta-analysis of proportional data. The I2 statistic will be reported despite its limitations, and reporting will be supplemented by prediction interval estimation and sensitivity analyses (Barker et al., 2021; Migliavaca et al., 2022). If conducting a meta-analysis is not feasible, reporting will follow the Synthesis Without Meta-analysis guideline (SWiM; Campbell et al., 2020).

Conclusion

Informed by the target setting work of the Global Diabetes Compact (Gregg et al., 2023), this systematic review aims to examine the global incidence of DKA and HHS and clinical outcomes in adults diagnosed with type 1 or 2 diabetes. Additionally, it aims to identify persistent gaps in the reporting and documentation of these conditions. This review will provide up-to-date information about the global burden of HGE, thus advocating for targeted interventions to address this pressing preventable emergency.

Dissemination

Upon completion of this systematic review, findings will be submitted for publication in a peer-reviewed journal, and presented at scientific conferences both nationally and internationally.

Study status

Between 2 October 2024 and 9 December 2024, the initial search strategy was developed, piloted, and refined, in consultation with an information specialist. Subsequently, from 6–9 January 2025, amendments were made to the search strategy, with the inclusion of additional search terms, alternative spellings for key terms, and added truncations. The last search was conducted on 13 January 2025. Title and abstract screening commenced on 13 January 2025 and is ongoing at the time of submission.

Ethics and consent

Ethical approval and consent were not required.

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Mairghani M, James S, Mehta R et al. Global monitoring of hyperglycaemic emergencies in adults with diabetes: protocol for a systematic review of incidence and outcomes (2015–2024) [version 1; peer review: awaiting peer review]. HRB Open Res 2025, 8:17 (https://doi.org/10.12688/hrbopenres.13978.1)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Key to Reviewer Statuses VIEW
ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions

Comments on this article Comments (0)

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VERSION 1 PUBLISHED 31 Jan 2025
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Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions

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