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Development and validation of the DIabetes Severity SCOre (DISSCO) in 139 626 individuals with type 2 diabetes: a retrospective cohort study

Zghebi, Salwa S.; Mamas, Mamas A.; Ashcroft, Darren M.; Salisbury, Chris; Mallen, Christian D.; Chew-Graham, Carolyn A.; Reeves, David; Van Marwijk, Harm; Qureshi, Nadeem; Weng, Stephen; Holt, Tim; Buchan, Iain; Peek, Niels; Giles, Sally; Rutter, Martin K.; Kontopantelis, Evangelos

Development and validation of the DIabetes Severity SCOre (DISSCO) in 139 626 individuals with type 2 diabetes: a retrospective cohort study Thumbnail


Authors

Salwa S. Zghebi

Mamas A. Mamas

Darren M. Ashcroft

Chris Salisbury

Christian D. Mallen

Carolyn A. Chew-Graham

David Reeves

Harm Van Marwijk

Stephen Weng

Tim Holt

Iain Buchan

Niels Peek

Sally Giles

Martin K. Rutter

Evangelos Kontopantelis



Abstract

Objective: Clinically-applicable diabetes severity measures are lacking, with no previous studies compared their predictive value to HbA1c. We developed and validated a type 2 diabetes severity score (DISSCO) and evaluated its association with risks of hospitalisation and mortality, assessing its additional risk information to socio-demographic factors and HbA1c.

Research Design and Methods: We used UK primary and secondary care data for 139,626 individuals with type 2 diabetes between 2007-2017, aged ≥35years, registered in 400 general practices. The study cohort was randomly divided to a training (N=111,748, 80%) to develop the severity tool, and validation cohort (N=27,878). We developed baseline and longitudinal severity scores using 34 diabetes-related domains. Cox regression models (adjusted for age, gender, ethnicity, deprivation, and HbA1c) were used for primary (all-cause mortality) and secondary outcomes (hospitalisation due to: any cause, diabetes, hypoglycaemia, or cardiovascular disease/procedures). Likelihood-ratio (LR) tests fitted to assess significance of adding DISSCO to the socio-demographics and HbA1c models.

Results: A total of 139,626 patients aged 63±12 years, 45% women, 83% White, 18% from deprived areas were included. Mean baseline severity scores was 1.3±2.0. In the training cohort, 27,362 (20%) people died, and 99,951 (72%) had ≥1 hospitalisation. A 1-unit increase in baseline DISSCO was associated with higher hazard of mortality (HR: 1.14, 95%CI: 1.13; 1.15, AUROC=0.76), and cardiovascular hospitalisation (HR: 1.45, 95%CI: 1.43; 1.46, AUROC=0.73). The LR tests showed that adding DISSCO to socio-demographic variables significantly improved the predictive value of survival models, outperforming the added value of HbA1c for all outcomes. Findings were consistent in the validation cohort.

Conclusions: Higher levels of DISSCO are associated with higher risks for hospital admissions and mortality. The new severity score had higher predictive value than the proxy used in clinical practice, HbA1c. This reproducible algorithm can help practitioners stratify clinical care of patients with type 2 diabetes.

Journal Article Type Article
Acceptance Date Mar 13, 2020
Online Publication Date May 7, 2020
Publication Date May 7, 2020
Deposit Date Mar 16, 2020
Publicly Available Date May 7, 2020
Journal BMJ Open Diabetes Research and Care
Electronic ISSN 2052-4897
Publisher BMJ Publishing Group
Peer Reviewed Peer Reviewed
Volume 8
Issue 1
Article Number e000962
DOI https://doi.org/10.1136/bmjdrc-2019-000962
Keywords Type 2 Diabetes, severity score, stratify, clinical care
Public URL https://nottingham-repository.worktribe.com/output/4153983
Publisher URL https://drc.bmj.com/content/8/1/e000962