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Accuracy of continuous glucose monitoring in the hospital setting: an observational study.
O'Connor, Mollie Y; Flint, Kristen L; Sabean, Amy; Ashley, Annabelle; Zheng, Hui; Yan, Joyce; Steiner, Barbara A; Anandakugan, Nillani; Calverley, Melissa; Bartholomew, Rachel; Greaux, Evelyn; Larkin, Mary; Russell, Steven J; Putman, Melissa S.
Afiliação
  • O'Connor MY; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Flint KL; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Sabean A; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Ashley A; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Zheng H; Biostatics Center, Massachusetts General Hospital, Boston, MA, USA.
  • Yan J; Biostatics Center, Massachusetts General Hospital, Boston, MA, USA.
  • Steiner BA; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Anandakugan N; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Calverley M; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Bartholomew R; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Greaux E; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Larkin M; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Russell SJ; Diabetes Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Putman MS; Beta Bionics Inc, Concord, MA, USA.
Diabetologia ; 2024 Aug 10.
Article em En | MEDLINE | ID: mdl-39126488
ABSTRACT
AIMS/

HYPOTHESIS:

Continuous glucose monitoring (CGM) improves glycaemic outcomes in the outpatient setting; however, there are limited data regarding CGM accuracy in hospital.

METHODS:

We conducted a prospective, observational study comparing CGM data from blinded Dexcom G6 Pro sensors with reference point of care and laboratory glucose measurements during participants' hospitalisations. Key accuracy metrics included the proportion of CGM values within ±20% of reference glucose values >5.6 mmol/l or within ±1.1 mmol/l of reference glucose values ≤5.6 mmol/l (%20/20), the mean and median absolute relative difference between CGM and reference value (MARD and median ARD, respectively) and Clarke error grid analysis (CEGA). A retrospective calibration scheme was used to determine whether calibration improved sensor accuracy. Multivariable regression models and subgroup analyses were used to determine the impact of clinical characteristics on accuracy assessments.

RESULTS:

A total of 326 adults hospitalised on 19 medical or surgical non-intensive care hospital floors were enrolled, providing 6648 matched glucose pairs. The %20/20 was 59.5%, the MARD was 19.2% and the median ARD was 16.8%. CEGA showed that 98.2% of values were in zone A (clinically accurate) and zone B (benign). Subgroups with lower accuracy metrics included those with severe anaemia, renal dysfunction and oedema. Application of a once-daily morning calibration schedule improved accuracy (MARD 11.4%). CONCLUSIONS/

INTERPRETATION:

The CGM accuracy when used in hospital may be lower than that reported in the outpatient setting, but this may be improved with appropriate patient selection and daily calibration. Further research is needed to understand the role of CGM in inpatient settings.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article