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Insulin Resistance in Stress-metabolic Medical Patients

Insulin Resistance in Stress-metabolic Medical Patients

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04239937
Enrollment
50
Registered
2020-01-27
Start date
2020-02-18
Completion date
2020-08-27
Last updated
2020-08-14

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

Conditions

Insulin Resistance, Sepsis, Septic Shock

Brief summary

An observational study on the insulin resistance in sepsis and septic shock patients.

Detailed description

This observational study is inspired by the short-term insulin resistance and hyperglycemia that have been demonstrated in post-operative patients in response to tissue injury by Van den Berghe et al 2001. This short-term insulin resistance and hyperglycemia have also been observed in acutely ill patients (Van den Berghe et al 2006). The underlying mechanism for why acute ill patients have short-term insulin resistance is still unclear, but it is believed that the basic mechanism is increased glucose regeneration and gluconeogenesis, which is the consequence of stress metabolism. Hyperglycemia can occur as a result of insulin resistance and is associated with an increased risk of multiple complications, which is why it is important to detect and treat (Van den Berghe et al 2001). This also means that the more insulin-resistant the patient has been prior to the acute condition, the greater the risk of elevated blood glucose concentrations. PRS Review Comments identify apparent errors, deficiencies, or inconsistencies in the submitted information. Any comments provided should not be considered comprehensive. Advisory comments noted in a previous version of a study record may apply to subsequent versions, even if not repeated. It is the responsibility of the data provider to ensure that the record is consistent with the ClinicalTrials.gov Review Criteria. The aim of the study is to clarify the degree of insulin resistance in medical patients who are not diagnosed with diabetes. Further it will be clarified how long these patients remain insulin resistant after discharge. The acute medical patients diagnosed with sepsis or septic shock will be observed during hospitalization and after discharge. Sepsis is defined as life-threatening organ dysfunction caused by dysregulated host response to infection. Because the entire body is affected by an infection, it is expected that this group of patients have a high level of stress metabolism, insulin resistance and increased gluconeogenesis. The hypothesis is that acute medical patients diagnosed with sepsis or septic shock have a level of insulin resistance (days to weeks) and thus an increased risk of hyperglycemia. Insulin resistance is expected to decrease as the patient's condition improves. The hypothesis is: Patients with elevated infection levels (CRP and leukocyte count) who are simultaneously diagnosed with sepsis, has peripheral insulin resistance due to stress metabolism. The pancreas will try to compensate for the peripheral insulin resistance by increasing its secretion of insulin to the bloodstream. C-peptide is excreted in equimolar amounts to insulin, thereby C-peptide becomes an expression of peripheral insulin resistance. It is assumed that the insulin resistance gradually decreases after discharge and further as the patient's condition improves (CRP and leukocyte counts). The study design is a prospective follow-up study. The difference in C-peptide will be observed over a time period of 28 days as an expression of the participant's insulin secretion. Futher, the participants' blood glucose will also be observed continuously to find the correlation between the degree of insulin resistance and glucose concentration. In addition, measure the correlation between the degree of infection and the increase in C-peptide concentration. The primary endpoint is the change in C-peptide (the difference between the maximum concentration and the concentration after 28 days). Secondary endpoints: * The area under the curve for blood glucose level measured over 28 days. * Correlation of infection level (CRP/leukocyte count) and increase in C-peptide concentration (dose-response). * Correlation between infection rate and insulin resistance. Patients admitted to the hospital with sepsis or septic shock can be recruited. Patients will be followed for 28 days from admission. The patients will be applied to a continuous flash glucose monitor (FGM) on the first day. Follow-up will be performed by blood sampling of C-peptide, leukocyte count, and CRP. HbA1c will also be measured for the exclusion of diabetes. Blood sampling will be taken both during hospitalization and after discharge. C-peptide will be measured every second day during hospitalization and leukocyte count and CRP will be measured every day during hospitalization. Reading of FGM will be performed on the 14. and on the 28. day where blood sampling of C-peptide, leukocyte count, and CRP also will be measured.

Interventions

None listed

Sponsors

Slagelse Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients with sepsis or septic shock who are admitted to the emergency ward and subsequently transferred to an intensive, intermediate or medical ward at Slagelse Hospital. Patients are diagnosed with sepsis or septic shock based on screening using Sequential (sepsis-related) Organ Failure Assessment (SOFA) or Quick SOFA (qSOFA). * Patients must be of legal age.

Exclusion criteria

* Patients with diabetes (T1DM or T2DM) * Patients with terminal cancer * Patients who are already participating in a trial * Patients who do not understand and speak danish * Patients who are demented * Postoperative patients \<1 month after surgery * Patients who are going through dialysis

Design outcomes

Primary

MeasureTime frameDescription
C-peptide28 daysChanges in C-peptide over time

Secondary

MeasureTime frameDescription
Blood glucose level28 daysThe area under the curve for blood glucose level measured over 28 days
Infection level and C-peptide concentration28 daysCorrelation of infection level (CRP/leukocyte count) and increase in C-peptide concentration (dose-response).
Correlation between infection rate and insulin resistance.28 daysCorrelation between infection rate and insulin resistance.

Countries

Denmark

Contacts

Primary ContactSarah Duncan
duncans@duncans.dk0045 61705065
Backup ContactPeter Gæde
phgo@regionsjaelland.dk

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026