Hypoglycemia and Glycemic Variability are Associated with Mortality in Non-Intensive Care Unit Hospitalized Infectious Disease Patients with Diabetes Mellitus (retrospective study)

Hypoglycemia and Glycemic Variability are Associated with Mortality in Non-Intensive Care Unit Hospitalized Infectious Disease Patients with Diabetes Mellitus (retrospective study) - Hypoglycemia, GV, and mortality in diabetes.

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000017598

Enrollment

631

Registered

2015-05-17

Start date

2014-11-01

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Infectious Disease Patients with Diabetes Mellitus

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: We retrospectively analyzed 631 non-ICU infectious disease patients with diabetes mellitus who underwent glucose monitoring more than twice per day.

Exclusion criteria

Exclusion criteria: The exclusion criteria for the study included: patient admissions with very long hospital stays (> 180 days) and patient admissions with very few glucose monitoring measurements (< total 6 times).

Design outcomes

Primary

Measure	Time frame
We extracted age, sex, body mass index (BMI), glycosylated hemoglobin (HbA1c), reactive inflammatory biomarkers (i.e. white blood cell (WBC) and CRP), and vital signs data (i.e. body temperature (BT), systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), and SpO2) on the first day of hospital stay. Hypoglycemia, GV (standard deviation (SD) (18, 19), coefficient of variation (CV) (20, 21)) and mean glucose concentrations were determined from all glycemic data during the entire hospital stay. We analyzed the association between these factors (explanatory variable) and mortality (response variable) using univariate logistic regression analysis. And we analyzed the association between the factors which were significantly associated with mortality using univariate logistic regression analysis (explanatory variable) and mortality (response variable) using stepwise multivariate logistic regression analysis.	—

Measure

Time frame

We extracted age, sex, body mass index (BMI), glycosylated hemoglobin (HbA1c), reactive inflammatory biomarkers (i.e. white blood cell (WBC) and CRP), and vital signs data (i.e. body temperature (BT), systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), and SpO2) on the first day of hospital stay. Hypoglycemia, GV (standard deviation (SD) (18, 19), coefficient of variation (CV) (20, 21)) and mean glucose concentrations were determined from all glycemic data during the entire hospital stay. We analyzed the association between these factors (explanatory variable) and mortality (response variable) using univariate logistic regression analysis. And we analyzed the association between the factors which were significantly associated with mortality using univariate logistic regression analysis (explanatory variable) and mortality (response variable) using stepwise multivariate logistic regression analysis.

—

Countries

Japan

Contacts

Public ContactSoichi Takeishi

Ichinomiyanishi Hospital Department of Endocrinology and Diabetes

souichi19811225@yahoo.co.jp0586-48-0077

Outcome results