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Dietary Assessment and Prevalence of Refeeding Syndrome in High-risk TB Patients in Chhattisgarh, India

Dietary Assessment and Prevalence of Refeeding Syndrome in High-risk TB Patients in Chhattisgarh, India

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03537170
Enrollment
31
Registered
2018-05-25
Start date
2017-11-23
Completion date
2018-02-14
Last updated
2018-05-25

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

Conditions

Refeeding Syndrome, Severe Malnutrition, Tuberculosis

Brief summary

Severe tuberculosis (TB) leads to wasting and anorexia, increasing risk of the refeeding syndrome (RFS) as defined by current criteria. TB patients have high metabolic rates and require a high calorie diet, with nutritional supplementation programs improving outcomes. BMI inversely correlates with mortality in these patients. Risk of RFS, a life-threatening syndrome associated with initiation of feeding after a period of low intake, has not been studied in this population and it is not known whether severely malnourished TB patients benefit from lower caloric intake. This study aimed to examine the prevalence of RFS in TB inpatients in rural India and correlate this with baseline and inpatient caloric intake.

Interventions

None listed

Sponsors

Washington University School of Medicine
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

* all adult inpatients admitted to the TB ward * able to take enteral intake

Exclusion criteria

* unable to take enteral intake

Design outcomes

Primary

MeasureTime frame
Inpatient caloric intakefrom date of admission to discharge, up to 100 weeks

Secondary

MeasureTime frame
Incidence of refeeding syndromefrom date of admission to discharge, up to 100 weeks

Countries

India

Outcome results

None listed

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